Scientists have discovered that a widely recognized Amazonian antbird is not one, but five distinct species—including two completely new to science. This revelation of hidden biodiversity was achieved by integrating artificial intelligence, vocal analysis, and traditional museum work, demonstrating how cutting-edge technology can transform our understanding of life in Earth's richest ecosystems.

Much of the conversation about artificial intelligence (AI) and Indigenous peoples focuses on harms, such as cultural appropriation, cultural flattening and digital exclusion. These risks are real.

In an era of climate anxiety, geopolitical tensions and rapidly advancing artificial intelligence, apocalyptic thinking is no longer confined to the fringes of society, according to new research published in the Journal of Personality and Social Psychology.

As a growing number of fast-food chains adopt artificial intelligence (AI) technology for drive-thru ordering, customers are more likely to order indulgent food options when interacting with voice AI rather than a human employee, according to a new study from researchers in the Penn State School of Hospitality Management. The researchers also found that pairing voice AI with an avatar can lessen its impact on food choices. The research team's findings are available online now ahead of publication in the April edition of the International Journal of Hospitality Management.

Researchers report using artificial intelligence to streamline the writing process, and journals are allowing its use, with limits, for peer review. As one journal editor put it: “for some authors and scientists, this is a game changer.” But AI also introduces new risks, including plagiarism and fraud.

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics and presents them in a way that is easily understandable for researchers. This includes experimental setups that humans might never have considered. The new AI doesn't just create a single design proposal; instead, it writes computer code that generates a whole series of physical experiments, that is, groups of experiments with similar outputs. The study has been published in the journal Nature...

An international study has revealed a surprising connection between quantum physics and the theoretical models underlying artificial intelligence. The study results from a collaboration between the Institute of Nanotechnology of the National Research Council (Cnr-Nanotec), the Italian Institute of Technology (IIT), and Sapienza University of Rome, together with international research institutions. The research paper was published recently in the journal Physical Review Letters.

Artificial intelligence can be used to provide a more precise time of death, which could be crucial in murder investigations. The method was developed by researchers at Linköping University and the Swedish National Board of Forensic Medicine who have trained an AI model on metabolites in thousands of blood samples from real deaths. "Death is a strong biological signal," says Rasmus Magnusson, postdoctoral fellow at the Department of Biomedical Engineering, IMT, at Linköping University, who led the study published in Nature Communications in which AI is used to determine the time of death.

Artificial intelligence (AI) is rapidly transforming health care and medical education. From enhancing diagnostic accuracy and clinical decision-making to enabling virtual simulations and personalized learning, AI technologies are becoming embedded in the daily practice of clinicians and trainees.

The opposition appeared overwhelming: Tens of thousands of emails poured into Southern California's top air pollution authority as its board weighed a June proposal to phase out gas-powered appliances. But in reality, many of the messages that may have swayed the powerful regulatory agency to scrap the plan were generated by a platform that is powered by artificial intelligence.

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for diseases such as Alzheimer's and cancer. The database, called PSBench, includes 1.4 million annotated protein structure models, all verified by independent experts. It gives scientists the reliable information they need to build more accurate artificial intelligence (AI) systems for assessing the quality of protein structure models, which is critical for developing future medical treatments.

Comparisons and competitiveness among employees have been around as long as there have been workplaces. But those frictions are taking fresh shape as the use of artificial intelligence and robotics starts to spread through businesses.

As artificial intelligence becomes increasingly embedded in everyday life and public institutions, trust in the companies developing AI is emerging as a critical societal issue. A new international study led by researchers at Tampere University shows that people's trust in AI systems—and in the major technology companies behind them—is shaped less by technical competence alone and more by sense of relatedness and positive engagement.

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial intelligence to optimize the development of new protein manufacturing processes, which could reduce the overall costs of developing and manufacturing these drugs.

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to digestion and cell signaling. At NUS, researchers are harnessing AI to fast-track discoveries, offering fresh insights into life at the molecular level and new strategies against disease.

How do people's attention and actions change when a drought affects the whole country compared to when it is concentrated in one region? A research team led by Professor Jong-Hoon Kam from the Department of Environmental Engineering at POSTECH (Pohang University of Science and Technology) analyzed news reports, social media posts, and internet search data using artificial intelligence (AI) during the 2022–2023 drought period. The team found that public views of disasters change depending on the size of the problem and its distance from people. The study was recently published online in the...

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an especially impressive impact on science and technology. Now, researchers in the McKelvey School of Engineering at Washington University in St. Louis have found a way to improve the efficiency and capability of machine vision and AI diagnostics using optical systems instead of traditional digital algorithms.

The performance and stability of smartphones and artificial intelligence (AI) services depend on how uniformly and precisely semiconductor surfaces are processed. KAIST researchers have expanded the concept of everyday "sandpaper" into the realm of nanotechnology, developing a new technique capable of processing semiconductor surfaces uniformly down to the atomic level.

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria. Current methods to detect contamination of foods such as leafy greens, meat and cheese, which typically involve cultivating bacteria, often require specialized expertise and are time-consuming—taking several days to a week.

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design lies in finding how to arrange these countless atoms to form the most stable molecule. Until now, this process has been as difficult as finding the lowest valley in a massive mountain range, requiring immense time and costs. Researchers at KAIST have developed a new technology that uses artificial intelligence (AI) to solve this process quickly and accurately.

The global economy is bracing for major job disruption as artificial intelligence (AI) advances and spreads across industries. Experts have been warning about this shift for years, and fiercely debating whether the benefits of an AI revolution will outweigh the cost of mass displacement in the workforce.

Artificial intelligence is changing not only how entrepreneurs run their businesses, but how they think about risk, opportunity and adaptation, according to new research. Researchers found that exposure to digital tools and AI was associated with sharper strategic thinking and greater mental flexibility. Entrepreneurs who understand and actively use AI appear better equipped to rethink plans and adjust to shocks.

As artificial intelligence advances, computers demand faster and more efficient memory. The key to ultra-high-speed, low-power semiconductors lies in the "switching" principle—the mechanism by which memory materials turn electricity on and off. A South Korean research team has successfully captured the elusive moment of switching and its internal operational principles by momentarily melting and freezing materials within nano-devices—phenomena that were previously difficult to observe. The study provides a foundational blueprint for designing next-generation memory materials that are faster...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks like literature searches and checking manuscripts for errors. But how well can AI perform when it comes to solving genuine, high-level research problems?

Generative artificial intelligence (GenAI) is now a reality in higher education, with students and professors integrating chatbots into teaching, learning and assessment. But this isn't just a technical shift; it's reshaping how students and educators learn and evaluate knowledge.

Psychologists at the University of Kent are suggesting people think wisely about their use of ChatGPT this Valentine's Day after new research has revealed that we judge people most when they use AI to write love letters, apologies, and wedding vows. Their findings, published in Computers in Human Behavior, suggest that people tend to judge those who outsource tasks to artificial intelligence more negatively than those who do the work themselves, especially where tasks are personal or emotionally meaningful.

Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely automate the extraction of label information from digitized insect specimens. The pipeline, named ELIE, uses artificial intelligence to reliably detect and process printed labels. This significantly reduces the time-consuming manual transcription work and represents an important advance for the digitization of natural history collections worldwide. The paper is published in the journal Methods in Ecology and Evolution.

Developing new materials can involve a dizzying amount of trial and error for different configurations and elements. Artificial intelligence (AI) has seen a surge of popularity in energy materials research for its potential to streamline this time-consuming process. However, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage.

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University of Strathclyde have pooled their knowledge of lasers and artificial intelligence to produce a technology that can dramatically reduce the time it takes to design advanced optical components for lasers—and could pave the way for new discoveries in science.

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by particle detectors at modern accelerators. The new custom-built algorithm uses a neural network to intelligently compress collision data, adapting automatically to the density or "sparsity" of the signals it receives.

Researchers from The Ohio State University and the Indian Institute of Technology Madras have developed an artificial intelligence framework to rapidly generate drug-like molecules that are easier to synthesize in real-world laboratory settings. The new system, called PURE (Policy-guided Unbiased REpresentations for Structure-Constrained Molecular Generation), promises to significantly cut down the early-stage timelines of drug development—currently a billion-dollar, decade-long process—and could play a crucial role in addressing drug resistance in cancer and infectious diseases. It stands...

NASA's Perseverance Mars rover has completed the first drives on another world that were planned by artificial intelligence. Executed on Dec. 8 and 10, and led by the agency's Jet Propulsion Laboratory in Southern California, the demonstration used generative AI to create waypoints for Perseverance, a complex decision-making task typically performed manually by the mission's human rover planners.

The future of work is being rewritten by artificial intelligence (AI)—but technology competence alone will not be enough to empower the workforce of the future. While AI has massive potential to improve efficiency, accuracy, and productivity in the workplace, it's less clear how it will evolve to foster the person-centered concerns that all businesses face.

Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum. An international research team led by biologists from Heidelberg University as well as the Vlaams Instituut voor Biotechnologie and KU Leuven (Belgium) has now developed advanced AI models that can predict the activity of these elements based solely on their DNA sequence.

The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand hearing functions and open the door to new hearing loss treatments, scientists require intricately detailed views of hair cells within the cochlea that allow us to detect the range of sounds around us. University of California San Diego biologists have now leveraged artificial intelligence to create a tool that provides previously unseen 3D views of cochlear hair cells.

Artificial intelligence experts have warned that AI "swarms" are poised to infiltrate social media by deploying agents that mimic human behavior and exploit our tendency to follow the herd.

A new study using Explainable Artificial Intelligence (XAI) has revealed land-use change—particularly deforestation and unplanned agricultural expansion—is dramatically intensifying heat waves across Africa, with findings that carry direct implications for Australia's warm climate. Although the research focused on Africa, the physical mechanisms behind this amplification are universal.

A team of astronomers has employed a cutting-edge, artificial intelligence–assisted technique to uncover rare astronomical phenomena within archived data from NASA's Hubble Space Telescope. The team analyzed nearly 100 million image cutouts from the Hubble Legacy Archive, each measuring just a few dozen pixels (7 to 8 arcseconds) on a side. They identified more than 1,300 objects with an odd appearance in just two and a half days—more than 800 of which had never been documented in scientific literature.

In 2024, artificial intelligence (AI) voice assistants worldwide surpassed 8 billion, more than one per person on the planet. These assistants are helpful, polite—and almost always default to female.

Generative artificial intelligence has disrupted the classroom, making educators feel as if the only immediate and well-intentioned choice they can make is to ban this technology from being used on assignments and in academic spaces. We spoke with Bryan Christ, a lecturer at the University of Virginia School of Data Science and applied scientist at Microsoft, about why it is more harmful than effective to take away students' ability to use large language models like ChatGPT, and why it is important for them to advocate for their right to have these tools in the classroom.

University of Phoenix College of Doctoral Studies has published a new white paper, "Rebuilding the Social Contract," by TaMika Fuller, DBA, an affiliate of the Center for Educational and Instructional Technology Research (CEITR), and Victoria Lender, DBA; both authors are College alumna. The paper examines how burnout, limited career development, and perceptions of low autonomy can erode trust at work—and what leaders can do to rebuild confidence, commitment and retention in an era shaped by accelerating technology and artificial intelligence.

Artificial intelligence is rapidly changing our society and economy. A new study shows that the majority of people believe that artificial intelligence is displacing more human labor than it is creating new opportunities. Scientists at the University of Vienna and Ludwig-Maximilians-Universität München (LMU) demonstrated a causal link: the stronger this perception, the more dissatisfied people are with democracy—and the less they participate in political debates about future technological developments. These effects occur even though artificial intelligence has had only a limited impact on...

The power of artificial intelligence (AI) and advanced computing has made it possible to design genetic sequences encoding for diverse biological applications, such as proteins that form the building blocks of materials stronger than steel, or personalized cancer treatments. But the act of constructing DNA sequences to realize those designs has been a significant bottleneck. Due to technological limitations, chemical DNA synthesis has been limited only to creating short pieces of DNA. However, DNA molecules on the scale of genes or genomes can be tens to thousands of times longer than current...

Generative artificial intelligence technology is rapidly reshaping education in unprecedented ways. With its potential benefits and risks, K-12 schools are actively trying to adapt teaching and learning.

Alicja Ostrowska's doctoral thesis "Life and AI at NASA" examines how artificial intelligence is transforming the way science is conducted within some of the world's most ambitious space projects. The study investigates how AI is used in NASA's missions exploring the conditions for present or past life on other planets and moons and what this means for how knowledge is produced. The research is based on fieldwork with scientists and engineers at NASA Goddard Space Flight Center.

The rapid growth of artificial intelligence has sharply increased electricity and water consumption, raising concerns about the technology's environmental footprint and carbon emissions. But the story is more complicated than that.

Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer answers to scientific questions. But can AI ultimately replace scientists?

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the behavior of atoms and molecules. Among other applications, CP2K plays an important role in generating data used to train artificial intelligence (AI)-based models that determine molecular energies and forces.

Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) have developed an innovative microscopy technique capable of improving the observation of living cells. The study, published in Optics Letters, paves the way for a more in-depth analysis of numerous biological processes without the need for contrast agents. The next step will be to enhance this technique using artificial intelligence, opening the door to a new generation of optical microscopy methods capable of combining direct imaging with innovative molecular information.

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial intelligence (AI) to drastically accelerate the discovery of microbial gene functions.

What if you could look into a cow's face and know whether it had a fever? A new tool from the Artificial Intelligence and Computer Vision Lab at the University of Arkansas uses artificial intelligence and thermal cameras to estimate the body temperature of cattle.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new materials, but predicting material properties is no simple task. Data science is key to transforming this field, and new tools powered by artificial intelligence are expected to accelerate the exploration, collection, and management of materials property data worldwide.

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British Columbia shows that these models often get the right answers for the wrong reasons.

Artificial intelligence programs are not only helping us tackle complex challenges like diagnosing diseases and predicting weather patterns, but also assisting with more mundane matters such as correcting grammar and planning meals. However, when it comes to financial decisions, people are more likely to trust their romantic partner than AI, according to a new study published in the journal Computers in Human Behavior.

Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early. To help achieve that goal, MIT and Microsoft researchers are using artificial intelligence to design molecular sensors for early detection.

Coldwell Banker agent Georgie Smigel used to spend hours digging through spreadsheets and old inquiry lists trying to figure out who might be interested in a new listing.

Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit.

Instacart will stop using artificial intelligence to experiment with product pricing after a report showed that customers on the platform were paying different prices for the same items.

No longer a technological novelty, generative artificial intelligence (GenAI) has become a common tool for everyday academic tasks among the university community. In view of this, the Universitat Oberta de Catalunya (UOC) has carried out a research project to establish the extent to which GenAI-specific training can help ensure more responsible and critical use by students.

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and their international collaborators have made a discovery that bridges artificial intelligence and nuclear physics. By applying deep learning techniques to a vast amount of unexamined nuclear emulsion data from the J-PARC E07 experiment, the team identified, for the first time in 25 years, a new double-Lambda hypernucleus.

Science is entering a massive publishing boom, in large part due to artificial intelligence. New research published in the journal Science has revealed that scientists who use large language models (LLMs) like ChatGPT are producing significantly more papers across many fields. The technology is also helping to level the playing field for researchers whose first language isn't English.

Newly published research from the University of Cincinnati College of Medicine highlights student-led work in medical education and examines how artificial intelligence (AI) can assist with qualitative research.

"Self-driving" or "autonomous" labs are an emerging technology in which artificial intelligence guides the discovery process, helping design experiments or perfecting decision strategies.

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov–Arnold Network (CKAN), which sheds new light on the properties of dark matter at galaxy-cluster scales.

Why did humans evolve the eyes we have today? While scientists can't go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents.

Scientists at NYU Abu Dhabi have developed a powerful new artificial intelligence tool called LA⁴SR that can rapidly identify previously overlooked proteins in microalgae—tiny organisms that produce much of Earth's oxygen and support entire aquatic ecosystems.

In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in pods surrounded by 360-degree digital screens. Adults wander among the pods but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence, which peppers them with questions about everything from mathematics to philosophy.

Public attitudes toward 'chatbot therapists' shifted dramatically during the rapid rise of generative artificial intelligence in 2023, according to a new Curtin University study, that is now behind the redevelopment of a safer, well-being chatbot called Monti.

By partnering with artificial intelligence (AI), a researcher at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory has solved a long-standing physics problem and uncovered the mathematical trickery that underlies the generalization of recently discovered, extremely surprising new states of matter. The work exemplifies the paradigm shift that is taking place in research, as scientists learn to see AI as a valuable asset in advancing knowledge and discovery.

Researchers at the University of Hawaiʻi Institute for Astronomy (IfA) are helping reshape how scientists study the sun. The UH-led team has developed a new artificial intelligence (AI) tool that can map the sun's magnetic field in three dimensions with unprecedented accuracy, supporting research tied to the U.S. National Science Foundation (NSF) Daniel K. Inouye Solar Telescope built and managed by the NSF National Solar Observatory (NSO) on Haleakalā.

It seems the AI hype has turned into an AI bubble. There have been many bubbles before, from the Tulip mania of the 17th century to the derivatives bubble of the 21st century. For many commentators, the most relevant precedent today is the dotcom bubble of the 1990s. Back then, a new technology (the World Wide Web) unleashed a wave of "irrational exuberance." Investors poured billions into any company with ".com" in the name.

Computer simulations and artificial intelligence often make significant errors when predicting the properties of new, high-performance materials, according to a new international study led by the University of Bayreuth. In their research, published in Advanced Materials, the scientists provide tools to address this issue.

University of Phoenix College of Doctoral Studies announces a new white paper, "Leadership Opportunities for Increasing Employee Value through Artificial Intelligence," authored by Andrew C. Lawlor, Ph.D., and Pamayla E. Darbyshire, DHA, MSN/CNS, both Fellows at the Center for Educational and Instructional Technology Research (CEITR).

Professor Neil Thurman and Sina Thäsler-Kordonouri from the Department of Media and Communication (IfKW) at LMU have published comprehensive findings on the perception and professional use of artificial intelligence by journalists.

Generative artificial intelligence (AI) such as ChatGPT has arrived in classrooms and sparked an intense debate about its role in education. These technologies raise the fundamental question of which human skills will still matter in the future.

As the artificial intelligence (AI) and quantum computing industries explode, trained STEM professionals are in high demand. Mathematics is foundational to these fields.

Home Depot is leveraging artificial intelligence to help professional contractors with a complex task—measuring and quantifying all the materials needed for residential projects.

Humans bring gender biases to their interactions with Artificial Intelligence (AI), according to new research from Trinity College Dublin and Ludwig-Maximilians Universität (LMU) Munich.

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive amounts of data while reading company filings or news headlines almost instantaneously. This is allowing for faster, more automated trading, which is making it difficult for human traders—not utilizing AI—to find an edge in the markets.

New research finds communities across the UK feel left out of the benefits of public sector artificial intelligence—calling for more public participation in AI policy.

A study published in Methods in Ecology and Evolution, used artificial intelligence (AI) to analyze over 300,000 hours of vocal recordings of mammal species from Far North Queensland to southern New South Wales and discovered a new approach to mammal monitoring that will have a ground-breaking impact on conservation.

Debates about generative artificial intelligence on college campuses have largely centered on student cheating. But focusing on cheating overlooks a larger set of ethical concerns that higher education institutions face, from the use of copyrighted material in large language models to student privacy.

In the most talked-about film from the final year of the 20th century, "The Matrix," a computer hacker named Neo finds that the world he lives and works in isn't real. It's a virtual reality, created by artificial intelligence.

Imagine a medical student diagnosing a virtual patient or a junior doctor practicing procedural skills such as drawing blood in a metaverse classroom. These Artificial Intelligence (AI)-powered tools aren't science fiction—they are emerging realities that could train more doctors, faster and better, to meet the world's growing health care needs.

A research team led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have developed a method to accurately and efficiently read DNA containing non-standard bases—a task once thought too complex for conventional DNA sequencers. Their work, published in Nature Communications, combines nanopore sequencing with artificial intelligence (AI) to decode these extra "letters" at high speed and accuracy.

In a recent study, scientists from the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) have utilized cutting-edge artificial intelligence methods to identify a region of the X chromosome that has maintained the distinctiveness of mammal species for millions of years.

Artificial intelligence (AI) is no longer a mere technological tool. It has already evolved into a new ideology—a system of values and beliefs that is shaping how society understands progress, sustainability, and even humanity itself.

The sun produces more power than 100 trillion times humanity's entire electricity generation. In orbit, solar panels can be eight times more productive than their Earth-bound counterparts, generating energy almost continuously without the need for heavy battery storage. These facts have led a team of Google researchers to ask what if the best place to scale artificial intelligence isn't on Earth at all, but in space?

A new Dartmouth study finds that artificial intelligence has the potential to deliver educational support that meets the individual needs of large numbers of students. The researchers are the first to report that students may put more trust in AI platforms programmed to pull answers from only curated expert sources, rather than from massive data sets of general information.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest in recent decades is a type of AI machine learning called deep learning, which has a structure inspired by the neural networks of the human brain.

A research team led by Professor Zhang Qinghong and Li Rumeng from the Department of Atmospheric and Oceanic Sciences at Peking University (PKU) School of Physics, has found that hailstorms in China have surged since the Industrial Revolution, likely due to human-driven climate warming. The study, published in Nature Communications in September 2025, combines historical records, meteorological data, and artificial intelligence to track long-term hailstorm trends.

A new study introduces an artificial intelligence (AI)-driven remote sensing framework designed to map the potential for forage cultivation across northern China's drylands, with a particular focus on the middle reaches of the Yellow River. The study, recently published in Water Research, identifies optimal forage-growing belts at the kilometer scale, delivering data and decision-ready tools to underpin ecological protection, sustainable agricultural practices, and national feed and food security.

The rise of artificial intelligence has produced serial writers to science and medical journals, most likely using chatbots to boost the number of citations they’ve published.

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may also one day accelerate artificial intelligence algorithms at a much lower energy footprint. But anyone interested in using quantum computers faces a steep learning curve that starts with getting access to quantum devices and then figuring out one of the many quantum software programs on the market.

The latest generation of artificial intelligence models is sharper and smoother, producing polished text with fewer errors and hallucinations. As a philosophy professor, I have a growing fear: When a polished essay no longer shows that a student did the thinking, the grade above it becomes hollow—and so does the diploma.

Through cutting-edge methods and advanced artificial intelligence analysis, UNC Charlotte researchers leading a multidisciplinary team across four universities have successfully resolved the entire genome of "Phage G," the largest bacterial virus (aka bacteriophages or phages) ever cultivated in a physical lab environment.

The U.S. economy is expected to see continued growth, although at a lower level than in recent years at 1.8%. But it could be buoyed by continued investments in artificial intelligence and the corresponding energy infrastructure supplying it, according to an economic forecast from the Indiana University Kelley School of Business.

As the saying goes, "The customer is always right." With the proliferation of artificial intelligence in consumer-facing roles, however, that may not always be so. Some customers have figured out how to game AI chatbots, exaggerating their complaints to get bigger benefits, such as discounts.

As global supply chains continue to strain under trade tensions, natural disasters and pandemics, researchers at UBC Okanagan's School of Engineering have created an artificial intelligence-based framework to help organizations build resilience efficiently and cost-effectively.

As educators confront the rapid advancement of artificial intelligence and its role in the classroom, a semester-long experiment at the University of Massachusetts Amherst found that structured use of generative AI improved student engagement and confidence but did not raise exam scores.

A study published in the International Journal of Mobile Learning and Organisation has mapped the fast-growing field of generative artificial intelligence (GenAI) in education. The research highlights both the technology's transformative potential and gaps in understanding how it affects learning and cognition. Academic interest in GenAI has surged, from just a handful of papers to many hundreds now.

As the influence of artificial intelligence grows, so do the ethical questions that surround it.

The consulting firm Accenture recently laid off 11,000 employees while expanding its efforts to train workers to use artificial intelligence. It's a sharp reminder that the same technology driving efficiency is also redefining what it takes to keep a job.

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of new materials. Today, AI functions as a researcher's "second brain," actively participating in every stage of research, from idea generation to experimental validation.

As debates about artificial intelligence and employment intensify, new research suggests that even warnings about near-term job automation do little to shake public confidence.

How can artificial intelligence (AI) help astronomers identify celestial objects in the night sky? This is what a recent study published in Nature Astronomy hopes to address as an international team of researchers investigated the potential for using AI to conduct astrophysical surveys of celestial events, including black holes consuming stars or even exploding stars themselves. This study has the potential to help astronomers use AI to enhance the field by reducing time and resources that have traditionally been used to scan the night sky.

Haozhe "Harry" Wang's electrical and computer engineering lab at Duke welcomed an unusual new lab member this fall: artificial intelligence. Using publicly available AI foundation models such as OpenAI's ChatGPT and Meta's Segment Anything Model (SAM), Wang's team built ATOMIC (Autonomous Technology for Optical Microscopy & Intelligent Characterization)—an AI microscope platform that can analyze materials as accurately as a trained graduate student in a fraction of the time.

Brazilian researchers have developed a technique that estimates the force exerted on each grain of sand in a dune from images. This method, which is based on numerical simulations and artificial intelligence (AI), transforms the study of granular system dynamics and paves the way for investigating previously unmeasurable physical processes. Applications range from civil engineering to space exploration.

As students settle into the new school year, one question looms large: How will artificial intelligence tools like ChatGPT affect their learning? Seeking answers, a team from Johns Hopkins recently introduced a chatbot into a classroom of middle and high school students to act as a co-tutor and study the impact.

A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more accurate and more hopeful predictions for the future of coral reefs amid climate change. Findings show that while many reefs face serious risks and degradation, others may remain stable or even recover, especially where local management reduces pressures like overfishing, water pollution, and coastal degradation.

A new study has found that artificial intelligence (AI) can now spot signs of depression in online writing, and can do so with high accuracy.

As artificial intelligence (AI) takes on increasingly critical roles—from managing power grids to piloting autonomous vehicles—making sure these systems are safe has never been more important. But how can we be certain that the AI controlling them can be trusted?

New advances in artificial intelligence (AI) are transforming the way scientists explore and understand some of the most remote parts of the ocean around Antarctica and the strange creatures that live there.

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves between these connected components, also known as nodes, could help to advance research focusing on numerous topics, ranging from artificial intelligence (AI) to neuroscience.

Have you ever used artificial intelligence (AI) in your job without double-checking the quality or accuracy of its output? If so, you wouldn't be the only one.

When recognizing faces and emotions, artificial intelligence (AI) can be biased, like classifying white people as happier than people from other racial backgrounds. This happens because the data used to train the AI contained a disproportionate number of happy white faces, leading it to correlate race with emotional expression.

A team from the Universitat Jaume I (UJI) has developed an innovative robotic platform, powered by artificial intelligence, that promises to revolutionize the design of sustainable chemical processes. The system, named Reac-Discovery, makes it possible to optimize in just a few days what previously could take months or even years of work in a traditional laboratory, thanks to its high level of integration and automation.

Police are getting a boost from artificial intelligence, with algorithms now able to draft police reports in minutes. The technology promises to make police reports more accurate and comprehensive, as well as save officers time.

Researchers have developed a smartphone-based artificial intelligence system that accurately predicts the ripeness and internal quality of avocados.

Surveillance pricing has dominated headlines recently. Delta Air Lines' announcement that it will use artificial intelligence to set individualized ticket prices has led to widespread concerns about companies using personal data to charge different prices for identical products. As The New York Times reported, this practice involves companies tracking everything from your hotel bookings to your browsing history to determine what you're willing to pay.

In a speech to the United Nations Security Council last month, Australia's Minister for Foreign Affairs, Penny Wong, took aim at artificial intelligence (AI).

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A KAIST research team has introduced a new technique that combines physical laws, which govern deformation and interaction of materials and energy, with artificial intelligence. This approach allows for rapid exploration of new materials even under data-scarce conditions and provides a foundation for accelerating design and verification across multiple engineering fields, including materials, mechanics...

Modelers have demonstrated that artificial intelligence (AI) models can produce climate simulations with more efficiency than physics-based models. However, many AI models are trained on past climate data, making it difficult for them to predict how climate might respond to future changes, such as further increases in the concentration of greenhouse gases.

The hype surrounding artificial intelligence is more than just superficial excitement—it is reorganizing how journalism operates, from newsroom priorities to public perceptions of the news, according to a new article in Digital Journalism co-authored by a University of Massachusetts Amherst journalism scholar.

A new artificial intelligence-powered tool can help researchers determine how well an enzyme fits with a desired target, helping them find the best enzyme and substrate combination for applications from catalysis to medicine to manufacturing.

For years we've been warned that technological advances and artificial intelligence (AI) are set to sweep people out of work. But when we think about whose jobs are really under threat, the answer isn't quite so simple.

Artificial intelligence technology has begun to transform higher education, raising a new set of profound questions about the role of universities in society. A string of high-profile corporate partnerships reflect how universities are embracing AI technology.

Artificial intelligence (AI) is revolutionizing educational paradigms and transforming teaching practice thanks to machine learning, natural language processing and personalized tutoring systems. One of the keys is the advanced analysis of students' learning data, which allows teachers to develop individualized teaching strategies.

Australian teachers are more likely to be using artificial intelligence than their counterparts around the world, according to a new international survey.

To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor in the Department of Chemical Engineering at Worcester Polytechnic Institute, is leveraging the power and potential of machine learning and computational modeling. The multi-university team she leads has completed a study that was just published in Nature Chemical Engineering. The study utilized artificial intelligence to identify catalysts with the potential to facilitate cleaner and more efficient hydrogen production.

Artificial intelligence, for better or for worse, has become an integral part of college students' study habits.

From using moon rovers that encourage predators to hunt and forage in packs, to applying state-of-the-art algorithms to try and understand the facial expressions of Sumatran orangutans, artificial intelligence and robotics are giving zookeepers and researchers new insights into animal welfare.

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using computers to accurately predict the 3D structure of any given amino acid sequence.

As people embrace ChatGPT and other large language models, University of Michigan anthropologist Webb Keane says it's easy for people to imbue AI with a human, or even god-like, authority.

Imagine watching a favorite movie when suddenly the sound stops. The data representing the audio is missing. All that's left are images. What if artificial intelligence (AI) could analyze each frame of the video and provide the audio automatically based on the pictures, reading lips and noting each time a foot hits the ground?

Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also requires a human expert's reasoning and intuition, which can't be replicated by even the most powerful artificial intelligence, mixed with fortuitous accident, according to Eun-Ah Kim, the Hans A. Bethe Professor of physics in the College of Arts and Sciences.

The use of artificial intelligence (AI) in public administration is increasing worldwide—including in the allocation of social services such as unemployment benefits, housing benefits, and social welfare. However, an international research team from the Max Planck Institute for Human Development and the Toulouse School of Economics has shown that those who depend on such benefits are most skeptical about automated decisions. To gain trust and acceptance for AI-supported systems, the perspectives of those affected must be considered.

A novel artificial intelligence (AI) technology now makes it possible to monitor ammonia (NH3)—a key contributor to harmful fine dust particles—with unprecedented precision and spatial detail, addressing longstanding gaps in current observation methods.

Students who plan to use ChatGPT to write their college admissions essays should think twice: Artificial intelligence tools write highly generic personal narratives, even when prompted to write from the perspective of someone with a certain race or gender.

Everyday items like car tires, plastic bags and foam cushions come from materials called polymers that can take years to develop and test. Researchers at Carnegie Mellon University and the University of North Carolina at Chapel Hill have developed a new approach to create better rubber-like materials more quickly by combining artificial intelligence with human expertise.

Forget the dreaded Friday spelling test, and don't count on spell check to do the job. For too long, spelling has been treated as rote memorization or dismissed as unnecessary in an age of autocorrect and artificial intelligence writing tools.

Even before an Elon Musk-owned artificial intelligence company opened a data center in southwest Memphis, Tennessee, air pollution was so bad that residents of a nearby neighborhood were far more likely to get cancer from industrial air pollution than average Americans. Our analysis found that air pollution got only slightly worse as a result of the data center.

Precision agriculture uses tools and technologies such as GPS and sensors to monitor, measure and respond to changes within a farm field in real time. This includes using artificial intelligence technologies for tasks such as helping farmers apply pesticides only where and when they are needed.

Artificial intelligence (AI) has revolutionized many fields in recent years, including the banking sector. There have been both positive and negative aspects of its implementation, in particular the issue of algorithmic discrimination in lending.

Biomedical engineers at Duke University have developed a platform that combines automated wet lab techniques with artificial intelligence (AI) to design nanoparticles for drug delivery. The approach could help researchers deliver difficult-to-encapsulate therapeutics more efficiently and effectively.

As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through millions of research papers and uncover insights that can accelerate the discovery of new materials.

In 2025, the rapid rise of artificial intelligence access for the public at large also means growing concern about the mental health impact of screen time on children and their AI engagement.

Artificial intelligence (AI) is opening new ground in ecology. At Rice University, César A. Uribe is developing computational tools to help scientists better understand ecosystems with recent studies using AI to glean new insights from different kinds of ecological data—from African mammal food webs to tropical forest soundscapes.

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency.

Artificial intelligence (AI) is wrecking havoc on university assessments and exams.

This week on Entanglements, our hosts ask: Should tech companies — and the billionaires that often run them — decide for the rest of us how artificial intelligence is deployed? They dig into the topic with two book authors who have covered AI from essentially opposing perspectives: Greg Beato and Adam Becker.

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group focuses on interactions among atomic vibrations, or phonons—interactions that govern a wide range of material properties, including heat transport, thermal expansion, and phase transitions. The new machine learning approach could be extended to compute all quantum interactions, potentially enabling encyclopedic knowledge about how particles and excitations behave in materials.

Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds up to four days in advance, significantly more accurately than current methods. The study is published in The Astrophysical Journal Supplement Series.

From sourdough starters at home to loaves in supermarkets—artificial intelligence (AI) could be key to standardizing and upscaling unpredictable sourdough, according to new research.

Artificial-intelligence agents — touted as AI's next wave — could be vulnerable to malicious code hidden in innocent-looking images on your computer screen

Picture the smartphone in your pocket, the data centers powering artificial intelligence, or the wearable health monitors that track your heartbeat. All of them rely on energy-hungry memory chips to store and process information. As demand for computing resources continues to soar, so does the need for memory devices that are smaller, faster, and far more efficient.

Artificial intelligence (AI) is everywhere. In the world of academia, it's having a big impact.

Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always been difficult for the technology to decipher. A team from the Bioinformatics Department at Ruhr University Bochum, Germany, working under Professor Axel Mosig has trained a neural network to tackle this issue.

Artificial intelligence (AI) is reshaping how students write essays, practice languages and complete assignments. Teachers are also experimenting with AI for lesson planning, grading and feedback. The pace is so fast that schools, universities and policymakers are struggling to keep up.

In Brazil, a group led by researchers from São Paulo State University (UNESP) in Jaboticabal, in collaboration with the Brazilian Agricultural Research Corporation (EMBRAPA), has developed an artificial intelligence (AI) tool to assess the stress levels of tambaqui (Colossoma macropomum), the most widely produced native fish in Brazil. The study is published in the journal Aquaculture.

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently refined two artificial intelligence (AI) programs originally built by Meta, the company that owns Facebook, to predict protein shapes. Their new combined model, called ESMBind, can predict the 3D structure of proteins to reveal how they bind to nutrient metals like zinc and iron, which are essential for life.

Many believe that the risks of an evolving artificial intelligence far outweigh the benefits. Do you think we should halt development in case it's too dangerous for humanity to handle?

In the criminal justice system, decisions about when and how long to detain people have historically been made by other people, like judges and parole boards. But that process is changing: Decision-makers increasingly include artificial intelligence systems in a variety of tasks, from predicting crime to analyzing DNA to recommending prison sentences.

Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to predict the outcomes of new chemical reactions. These have had limited success, in part because until now they have not been grounded in an understanding of fundamental physical principles, such as the laws of conservation of mass.

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ChatGPT learned language by gorging on the internet. In biology, however, scientists face a frustrating challenge—the high-quality datasets needed to train powerful artificial intelligence models are rare. Without these datasets, we can't harness machine learning to tackle our most pressing health challenges.

With the rapid advancement of generative artificial intelligence (GenAI), teachers have been thrust into a new and ever-shifting classroom reality.

These days, it's not unusual to hear stories about people falling in love with artificial intelligence. People are not only using AI to solve equations or plan trips, they are also telling chatbots they love them—considering them friends, partners, even spouses.

In a major leap for artificial intelligence (AI) and photonics, researchers at the University of California, Los Angeles (UCLA) have created optical generative models capable of producing novel images using the physics of light instead of conventional electronic computation.

The fears are familiar: Artificial intelligence is going to eat our jobs, make our students weak and lazy and possibly destroy democracy for good measure.

Marina Lepp, associate professor of informatics at the University of Tartu Institute of Computer Science, together with co-author Joosep Kaimre, a recently graduated master's student, examined in a research article the impact of artificial intelligence tools on students' academic outcomes. A total of 231 students took part in the study.

In the discussion around artificial intelligence (AI) and automation, Sanmay Das has found one constant: While many people believe that some jobs can be replaced by AI, they believe that their own job is far too nuanced and complex to be handed over to the machines.

A new Simon Fraser University course this fall marks a world first: a university professor teaching alongside a live, fully expressive 3D artificial intelligence collaborator on stage. This pioneering course introduces a new model for human-AI interaction in an academic setting, positioning SFU at the forefront of educational innovation.

When artificial intelligence (AI) enters the classroom, the focus is often on the risk of plagiarism or shortcuts.

A new study has revealed that the displacement of skilled workers by technology began nearly two decades ago—well before the recent breakthroughs in artificial intelligence that have sparked widespread concern over jobs becoming automated in the future.

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better.

NASA has launched Surya, its new heliophysics artificial intelligence foundation model to empower solar scientists with tools to enhance research and space weather forecasting. Southwest Research Institute's Dr. Andrés Muñoz-Jaramillo led a team of scientists from several institutions and universities who played a crucial role in tailoring the scientific data and validating a powerful application to predict solar activity such as coronal mass ejections and other space weather events.

A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from predator-prey relationships to traffic patterns in cities to how populations grow and shift—using artificial intelligence (AI) and physics.

CSIRO, Australia's national science agency, and the Insurance Council of Australia (ICA) have released a report outlining how artificial intelligence (AI) can help address some of the most pressing issues facing the insurance sector and its customers.

An open-source artificial intelligence model to accurately map the carbon emissions of buildings across multiple cities could become a powerful new tool to help policymakers plan targeted and equitable decarbonization strategies.

Your five-star review of a park may have more weight than you think. Scientists just turned it into data, thanks to artificial intelligence.

A research team has developed a new artificial intelligence (AI) tool that can automatically identify and track tropical easterly waves (TEWs)—clusters of clouds and wind that often develop into hurricanes—and separate them from two major tropical wind patterns: the Intertropical Convergence Zone (ITCZ) and the monsoon trough (MT).

Artificial intelligence could slash waste, cut carbon emissions and ease staff burnout in the hospitality sector—yet many operators are barely scratching the surface, according to new research from the University of Surrey.

Generative artificial intelligence systems require a lot of energy, but many AI developers are hoping the technology can ultimately be a boon for the climate—possibly leading to a more efficient power grid, for instance.

Every day, new tunnels are being built through rock across the country. The completed tunnels are safe, but the construction phase presents challenges.

Researchers from the UCLA Samueli School of Engineering and their collaborators have developed FuelVision, a new system that could help enhance nationwide wildfire preparedness by combining satellite imagery with artificial intelligence to rapidly and accurately identify wildfire fuel sources.

A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.

Artificial intelligence (AI) promised to revolutionize the field of education. But how, and how much, is it actually being used by students and teachers today? Our recent article sought to answer this question by analyzing AI's integration into universities from two perspectives: scientific (how it is actually being used) and social (perceptions of its use).

Scrolling through social media, you may have dallied on reels of Leonardo DiCaprio dancing or Tom Cruise crooning, only to realize they're spoofs created with artificial intelligence. Hyper-realistic videos and images like these—also called deepfakes—are notorious for celebrity pranking. But the technology has serious scientific applications, too. In the field of ecology, for example, AI doppelgängers of rare species could improve efforts to understand, monitor and protect them.

Many writers, actors and other creatives are currently experiencing a small wave of panic about artificial intelligence (AI) taking over their jobs.

Half of U.S. adults report using at least one "major AI tool," but public attitudes about artificial intelligence regulation remain divided nationwide, according to a new survey.

A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. The work has been published in Nature Biotechnology.

Advances in artificial intelligence for porous materials design could impact a wide variety of fields, from orthopedic implants to next-generation batteries.

A new artificial intelligence tool developed by researchers at the University of Hawai'i (UH) at Mānoa is making it easier for scientists to explore complex geoscience data—from tracking sea levels on Earth to analyzing atmospheric conditions on Mars.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate predictions by analyzing large amounts of data. These networks are structured in layers, each of which transforms input data into 'features' that guide the analysis of the next layer.

Large language models such as ChatGPT recognize widespread myths about the human brain better than many educators. However, if false assumptions are embedded into a lesson scenario, artificial intelligence (AI) does not reliably correct them.

Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few years. Since the release of the conversational platform ChatGPT, which relies on different versions of an LLM called GPT, these models have become widely used by individuals worldwide, while also making their way into some professional and research settings.

Many of the world’s languages are underrepresented in the data used to train generative AI chatbots and other AI-based tools, which means entire communities could be missing from the foundational models underlying artificial intelligence. The solution isn’t just getting better data but better governance.

As artificial intelligence (AI) tools like ChatGPT become part of our everyday lives, from providing general information to helping with homework, one legal expert is raising a red flag: Are these tools quietly narrowing the way we see the world?

If you've interacted with an artificial intelligence chatbot, you've likely realized that all AI models are biased. They were trained on enormous corpuses of unruly data and refined through human instructions and testing. Bias can seep in anywhere. Yet how a system's biases can affect users is less clear.

Artificial intelligence is giving some climate research projects a much-needed boost at a time of worsening extreme weather and funding cuts that threaten science in the U.S. and elsewhere.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted to transfer this same power to quantum computers—but all attempts to do so brought unforeseen problems.

An international team of researchers from the University of California, Los Angeles (UCLA), Vanderbilt University, and Delft University of Technology has developed an artificial intelligence (AI) method that virtually stains images generated through imaging mass spectrometry (IMS). The research is published in the journal Science Advances.

Recently, Delta Air Lines announced it would expand its use of artificial intelligence to provide individualized prices to customers. This move sparked concern among flyers and politicians. But Delta isn't the only business interested in using AI this way. Personalized pricing has already spread across a range of industries, from finance to online gaming.

Artificial intelligence (AI) can help transform how we understand and respond to the escalating threat of bushfires. We start this journey with the first imagery now available from the proto satellite launched by Muon Space earlier this year, as part of the FireSat program led by the global nonprofit Earth Fire Alliance.

How can artificial intelligence (AI) be used to locate lunar pits and skylights, which are surface depressions and openings, respectively, that serve as entrances to lava caves and lava tubes? This is what a recent study published in Icarus hopes to address as an international team of researchers investigated using machine learning algorithms to more efficiently identify pits and skylights on lunar volcanic regions (lunar maria) of the moon. This study has the potential to help researchers develop new methods in identifying key surface features on planetary bodies that could aid in both robotic...

A single plant costs U.S. ranchers $35 million a year. Now, a team of researchers is using artificial intelligence to keep it in check.

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.

Researchers at the National Institutes of Health (NIH) have developed an artificial intelligence (AI) agent powered by a large language model (LLM) that creates more accurate and informative descriptions of biological processes and their functions in gene set analysis than current systems. The work is published in the journal Nature Methods.

Using 3D holograms polished by artificial intelligence, researchers introduce a lean, eyeglass-like 3D headset that they say is a significant step toward passing the "Visual Turing Test."

As artificial intelligence (AI) continues to transform work, Brock University experts are weighing in on AI's impact on human employees and the companies employing them.

Scientists at the University of California, Davis, used artificial intelligence to help plants recognize a wider range of bacterial threats — which may lead to new ways to protect crops like tomatoes and potatoes from devastating diseases. The study was published in Nature Plants.

New research from the University of South Australia has revealed that tertiary students' learning habits are deeply connected to how they engage with generative artificial intelligence tools.

Generative artificial intelligence (Gen AI) is transforming the world of creativity, and music is no exception. A study recently published in PLOS One, explores a key question: Can AI-generated music produce the same emotional responses as human-composed music in audiovisual contexts?

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren't immediately obvious—a challenge University of Toronto researchers aim to address using artificial intelligence.

In a major step toward securing global food supplies and advancing sustainable agriculture, a team of scientists has proposed an integrated framework that combines biotechnology and artificial intelligence (AI) to revolutionize crop breeding.

No question is too small when Kayla Chege, a high school student in Kansas, is using artificial intelligence.

A team of European researchers has shed new light on the genetic origins of Papua New Guineans. The team uses advanced artificial intelligence (AI) tools to demonstrate that Papua New Guineans are closely related to other Asian populations. They share a common ancestry from the same Out of Africa event that also gave rise to other non-African groups.

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials are able to learn important details about nuclear events such as explosions, accidents or industrial emissions.

The age of artificial intelligence (AI) has transformed our interactions, but threatens human dignity on a worldwide scale, according to a study led by Charles Darwin University (CDU).

A team of researchers from Ca' Foscari University of Venice and the Universidad Autónoma de Madrid has developed a groundbreaking technique that maps temperature in three dimensions within biological tissue, using invisible light and artificial intelligence.

The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield inconsistent data. To improve the precision and efficiency of the catalyst design, it is imperative to transition to a data-driven, automated paradigm of catalyst synthesis.

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes to more than one million deaths worldwide each year.

The world's leading mathematicians were stunned by how adept artificial intelligence is at doing their jobs.

In many countries, there is an academic cheating crisis with students misusing artificial intelligence tools like ChatGPT to write essays, dissertations and other assignments. According to new research, certain personality traits make some students more likely to pass off AI-generated work as their own.

Artificial intelligence systems like ChatGPT are notorious for being power-hungry. To tackle this challenge, a team from the Center for Optics, Photonics and Lasers (COPL) has come up with an optical chip that can transfer massive amounts of data at ultra-high speed. As thin as a strand of hair, this technology offers unrivaled energy efficiency.

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives and protect property. Researchers at the Karlsruhe Institute of Technology (KIT) have developed a new method that uses artificial intelligence (AI) to convert low-resolution global weather data into high-resolution precipitation maps. The method is fast, efficient, and independent of location. Their findings have been published in npj Climate and Atmospheric Science.

Scientists are crucial voices in the public debate about wicked problems—societal-scale, high-stakes issues with no clear solutions, like pandemics and artificial intelligence. In the past, experts reached the masses through journalists at traditional news outlets. Today, science discourse happens online, where science content competes for attention with posts from influencers, advocacy groups, conspiracy theorists and other unverified sources.

A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications.

The second biggest teachers union in the United States unveiled a groundbreaking partnership Tuesday with AI powerhouses Microsoft, OpenAI, and Anthropic to develop a comprehensive training program helping educators master artificial intelligence.

A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and efficient protein evolution by integrating structural and evolutionary constraints into a generic inverse folding model—without the need to train specialized artificial intelligence (AI) models.

Artificial intelligence (AI) is emerging as a powerful catalyst for transforming enterprise productivity. A new study analyzing data from more than 27,000 Chinese listed firms finds that AI significantly enhances what are termed "new quality productive forces"—advanced capabilities built on innovation, digitalization, and industrial upgrades.

The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative shift in data analysis, interpretation and content generation. These models, trained on extensive textual datasets, have demonstrated the ability to generate contextually accurate and linguistically rich outputs, with profound implications for fields such as science and medicine, where models like OpenAI's GPT-4 have shown remarkable aptitude.

Artificial intelligence may be marketed as society's great equalizer—transforming businesses, streamlining work and making life easier for all—but for many marginalized Americans, AI doesn't feel like a promise.

Figuring out the ages of stars is fundamental to understanding many areas of astronomy—yet, it remains a challenge since stellar ages can't be ascertained through observation alone. So, astronomers at the University of Toronto have turned to artificial intelligence for help.

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media catalysts. A recent research paper published in the journal ACS Catalysis has explored how artificial intelligence and machine learning are helping scientists identify these catalysts more efficiently.

Australian farms are at the forefront of a wave of technological change coming to agriculture. Over the past decade, more than US$200 billion (A$305 billion) has been invested globally into the likes of pollination robots, smart soil sensors and artificial intelligence (AI) systems to help make decisions.

Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical calculations. The research was presented at ICLR 2025.

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of artificial intelligence can resemble those of a human brain.

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois Urbana-Champaign have dramatically improved the performance of two important industrial enzymes—and created a user-friendly, fast process to improve many more.

While the current generation of artificial intelligence chatbots still flub basic facts, the systems answer with such confidence that they're often more persuasive than humans. Adults, even those such as lawyers with deep domain knowledge, still regularly fall for this. But spotting errors in text is especially difficult for children, since they often don't have the contextual knowledge to sniff out falsehoods.

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input domain. In other words: It is now possible to mathematically guarantee that certain types of errors will not occur—a crucial step forward for the safe use of AI in sensitive applications.

A new report has revealed that fundraisers have concerns around the ethical implications of artificial intelligence (AI) in their work with donors.

Since ChatGPT appeared almost three years ago, the impact of artificial intelligence (AI) technologies on learning has been widely debated. Are they handy tools for personalized education, or gateways to academic dishonesty?

As artificial intelligence reshapes workplaces worldwide, a new study provides early evidence suggesting AI exposure has not, thus far, caused widespread harm to workers' mental health or job satisfaction. In fact, the data reveals that AI may even be linked to modest improvements in worker physical health, particularly among employees with less than a college degree.

Parenting has never been an easy job. In each generation, it comes with tough conversations on topics ranging from sex and peer pressure to politics and mortality. In the digital age, that list should continue to grow with family discussions about artificial intelligence, a University of Mississippi expert in AI literacy advises.

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system that exceeds human discernment when it comes to measuring herbicide-induced stress in plants.

Researchers have used an AI model to create a new image of the black hole at the center of our galaxy. But some experts are skeptical of the results.

With a Trump-driven reduction of nearly 2,000 employees, agency officials view artificial intelligence as a way to speed drugs to the market.

With global oyster populations having plummeted by more than 85% from historical levels, researchers are feeling a sense of urgency to restore and monitor these critical marine ecosystems. But traditional methods of oyster reef monitoring often involve destructive sampling and extensive manual labor. A new study published in Frontiers in Robotics and AI explores whether artificial intelligence could serve as a safer and more effective tool.

Will artificial intelligence systems such as chatbots and robots ever develop consciousness? Ethicists say that as such AI systems appear to express emotions or preferences — even in limited ways —moral concern over their rights will grow, creating a divide in public opinion. How can society prepare?

A set of dark streaks that regularly wind across the Martian surface are more likely to be formed by dust and wind than by water, a new artificial intelligence analysis has revealed.

Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis. Researchers affiliated with UNIST have unveiled an innovative artificial intelligence (AI) analysis technique that predicts this CO2 uptake with high temporal resolution. This advancement is expected to significantly aid climate change mitigation efforts and the formulation of carbon-neutral policies.

People often prioritize the well-being of family, friends and neighbors, as they feel a closeness emotionally and share the same temporal context. But they overlook how people born decades or centuries from now may suffer as a result of today's failures to address major global risks such as climate change, future pandemics and unregulated artificial intelligence.

Artificial intelligence has improved by leaps and bounds over the last few decades and has changed the way many people, including corporate managers, conduct business.

Artificial intelligence (AI) is ubiquitous in this era. As a result, human-AI interactions are becoming more frequent and complex, and this trend is expected to accelerate soon. Therefore, scientists have made remarkable efforts to better understand human-AI relationships in terms of trust and companionship. However, these man-machine interactions can possibly also be understood in terms of attachment-related functions and experiences, which have traditionally been used to explain human interpersonal bonds.

An artificial intelligence safety firm has found that OpenAI's o3 and o4-mini models sometimes refuse to shut down, and will sabotage computer scripts in order to keep working on tasks.

Artificial intelligence is becoming an asset in hurricane forecasting.

Artificial intelligence sea ice forecasting systems could help predict and protect the migration routes of endangered caribou in the Canadian Arctic, according to a new study. The research, led by British Antarctic Survey (BAS) scientists in partnership with The Alan Turing Institute, WWF and the Government of Nunavut, demonstrates how this technology could assist local agencies in protecting critical migration routes which cross areas of land and sea ice.

We live in a time of growing anxiety and fear, where the disruptive forces of artificial intelligence (AI), automation, Big Data, virtual reality and augmented reality loom ominously over people's lives.

Artificial intelligence could be a game changer for small businesses struggling to secure loans—even in areas without access to a brick-and-mortar bank branch—according to a new study from the University of Missouri.

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful new artificial intelligence tool that can predict the 3D shape of chromosomes inside individual cells—helping researchers gain a new view of how our genes work.

Data is the lifeblood of artificial intelligence (AI) and, as such, is a hugely valuable resource. Entrepreneur Matt Clifford's report on the AI Opportunities Action Plan, commissioned by the UK government, has set out some ambitious recommendations for unlocking UK public data to power AI development—and serve as a state asset.

A new study from UBC Okanagan says students appear to be using generative artificial intelligence (GenAI) responsibly, and as a way to speed up tasks, not just boost their grades.

A new University of Florida study published in HortScience shows how drones can do more than just take aerial pictures and videos—they can help farmers grow better hemp by seeing the health of their crops with some artificial intelligence assistance.

Since the recent explosion of widely available generative artificial intelligence (AI), it now seems that a new AI tool emerges every week.

Artificial intelligence (AI) tools are rapidly transforming the world of work—not least, the process of hiring, managing and promoting employees.

As the world's energy needs for computing and artificial intelligence continue to increase, developing alternative low-power solutions to traditional computing becomes crucial. Devices that reliably generate randomness, or stochasticity, are vital for many computing applications.

Using global land use and carbon storage data from the past 175 years, researchers at The University of Texas at Austin and Cognizant AI Labs have trained an artificial intelligence system to develop optimal environmental policy solutions that can advance global sustainability initiatives of the United Nations.

Generative artificial intelligence (gen AI) seems to offer endless possibilities for sales and marketing. It can help companies streamline processes, reach more customers, and expand their capabilities. But that wealth of possibilities can seem overwhelming to small and midsized companies, says Doug Chung, associate professor of marketing at Texas McCombs.

Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.

Societies increasingly rely on scientists to guide decisions in times of uncertainty, from pandemic outbreaks to the rise of artificial intelligence.

Preparing students for a world driven by artificial intelligence starts long before college. The University of South Florida is collaborating with Pre-K-12 educators to integrate AI into classrooms in Tampa Bay and across the nation, ensuring that future generations develop essential skills early on.

How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to address as a lone researcher investigated using machine learning models to enhance mapping and imaging capabilities from orbital images obtained from the Mars Reconnaissance Orbiter (MRO) Context Camera (CTX), which is currently orbiting Mars.

The vast majority of students now use generative artificial intelligence (GenAI) programs on a regular basis. Can teachers get students past the principle of least effort and turn these programs into educational tools?

A new study demonstrates how artificial intelligence (AI) can help consumers avoid overdraft fees—potentially saving households millions in avoidable charges.

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar Sciences of the National Research Council of Italy, has developed the first global model based on artificial intelligence to calculate the ice thickness distribution of all the glaciers on Earth.

New York University scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers.

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.

Generative artificial intelligence (AI) is trained on enormous bodies of text, video and images to identify patterns. It then creates new texts, videos and images on the basis of this pattern identification. Thanks to machine learning, it improves its ability to do so every time it is used.

Using advanced artificial intelligence, researchers have developed a novel method to make drug development faster and more efficient.

Driven by advances in artificial intelligence (AI) and metaverse technologies, digital clones are transforming fast-fashion marketing. Always available, ageless and adaptable to any setting, these virtual figures enable brands to create immersive, cost-effective campaigns that resonate with today's digital-first consumers.

Around the world, artificial intelligence and Automated Decision-Making (ADM) tools are playing increasingly significant roles in handling immigration and homeland security data.

Nature is still too complex for artificial intelligence (AI) modeling to be effective, but the tipping point is close, according to a new study that found the technology may still trip at the last real-world hurdle.

The mitochondrion plays critical roles in cellular function, making it a prime organelle to target for fundamental studies, metabolic engineering, and disease therapies. With only a limited number of existing mitochondrial targeting sequences, a new study from the Carl R. Woese Institute for Genomic Biology demonstrates the utility of generative artificial intelligence for designing new ones. The study is published in the journal Nature Communications.

A research team has developed a "next-generation AI electronic nose" capable of distinguishing scents like the human olfactory system does and analyzing them using artificial intelligence. This technology converts scent molecules into electrical signals and trains AI models on their unique patterns. It holds great promise for applications in personalized health care, the cosmetics industry, and environmental monitoring.

Digital Planet, published by The Fletcher School at Tufts University, has unveiled the Digital Evolution Index charting the progress 125 economies around the world have made in advancing their digital economies, developing artificial intelligence (AI), and integrating connectivity into the lives of billions.

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the analysis of biomedical images using deep learning techniques. The work has been published in Nature Methods.

Artificial intelligence is driving a seismic shift in how we approach weather forecasting, with a flurry of new AI weather prediction models debuting in recent years that have a number of potential advantages over traditional models. These include faster speeds, reduced demand for computing resources, and improved forecast performance for some weather phenomena, especially over longer time periods.

Societal challenges, from climate change to public health crises to advancements in artificial intelligence, have been intrinsically linked with scientific progress for generations. But as politics become more polarized, the role of science in law making has become increasingly contested.

Advertising is a combination of art and science, and for a small business competing with big brands, it can be hard—and costly—to develop ads that connect with consumers. But a team of researchers led by a Virginia Commonwealth University professor has developed a method of using artificial intelligence in ad creation, which could help level the playing field for businesses and lead to more targeted marketing to consumers.

Ex-OpenAI workers ask California and Delaware AGs to block for-profit conversion of ChatGPT maker

For customers who don't have the freedom to choose where they shop, technological advancements—particularly artificial intelligence (AI) and intrusive personal data collection—are making price discrimination, inflation and lower-quality goods increasingly likely. Vulnerable consumers are most at risk.

Could we be on the verge of an era where fighter jets take flight without pilots—and are controlled by artificial intelligence (AI)? US R Adm Michael Donnelly recently said that an upcoming combat jet could be the Navy's last one with a pilot in the cockpit. That marks a striking, if not entirely surprising, shift in thinking about the future of aerial warfare.

Generative Artificial Intelligence (AI) is boosting anticipatory forms of governance around the world, helping state actors to predict the future and focus their efforts in the present where the AI predicts they can have the greatest positive impact.

Artificial intelligence (AI) can be leveraged by hospitality companies to meet or even exceed customers' expectations, according to a framework proposed by researchers in the Penn State School of Hospitality Management.

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in the pre-clinical stage. This means speeding up the drug discovery process and making it more affordable.

Using artificial intelligence shortens the time to identify complex quantum phases in materials from months to minutes, finds a new study published in Newton. The breakthrough could significantly speed up research into quantum materials, particularly low-dimensional superconductors.

Most kids have a natural curiosity about sharks—especially their sharp and abundant teeth. Our team had the idea to use the appeal of this charismatic apex predator to teach how scientists use artificial intelligence.

A new artificial intelligence (AI) model developed by Israeli researchers promises to revolutionize wildfire prediction, with a particular focus on lightning-induced blazes that are growing increasingly common due to climate change. The new AI model can predict where and when lightning strikes are most likely to cause wildfires, achieving more than 90% accuracy—a first in wildfire forecasting.

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans.

Some experts say the online abuse of children is rampant, and that police and lawmakers need more tools to catch perpetrators. Now, researchers in several countries are training artificial intelligence systems to help prevent predatory conversations. Will the tools work?

Photonic circuits, which manipulate light to perform various computational tasks, have become essential tools for a range of advanced technologies—from quantum simulations to artificial intelligence. These circuits offer a promising way to process information with minimal energy loss, especially in fields like quantum computing where complex systems are simulated to test theories of quantum mechanics.

In a comprehensive study examining the capabilities of artificial intelligence in academic research, University of Florida researchers have found that while AI can be a valuable assistant, it falls short of replacing human scientists in many critical areas.

As Canada moves toward stronger AI regulation with the proposed Artificial Intelligence and Data Act (AIDA), its southern neighbor appears to be taking the opposite approach.

In December 2024, the editorial board of the Journal of Human Evolution resigned en masse following disagreements with the journal's publisher, Elsevier. The board's grievances included claims of inadequate copyediting, misuse of artificial intelligence (AI), and the high fees charged to make research articles publicly available.

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.

We have an opportunity to build systems that don’t just replicate our current inequities. Will we take them?The notion that artificial intelligence could help reduce racism might seem counterintuitive. After all, we’ve seen numerous headlines about AI systems perpetuating or even amplifying racial biases. Yet as we enter 2025, amid both a backlash against social justice initiatives and the rapid proliferation of AI technologies, an unexpected opportunity is emerging.Here’s the paradox: while few people want to be labeled racist, study after study reveal persistent racial disparities in...

Artificial intelligence (AI) is increasingly being used in many countries worldwide to provide public social services, assisting in entitlement decisions to state-paid pensions and unemployment benefits, assessments of asylum applications, and assignments of places at kindergartens. AI technology is intended to help apply fairness criteria in the allocation of this kind of support to individuals and to assess potential beneficiaries accordingly.

Researchers from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences have leveraged artificial intelligence (AI) to design a novel series of Fe-based amorphous alloys. These materials exhibit both ultra-high saturation magnetization (Bs) and ultra-low coercivity (Hc), offering the potential to improve the energy efficiency and performance of high-frequency, high-power electronic devices. The findings are published in Advanced Functional Materials.

Europe's Euclid space telescope, which is on a mission to shed light on the mysteries of dark matter and dark energy, released its first data Wednesday with a little help from volunteers and artificial intelligence.

The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithms varies depending on the application.

To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have created a deep learning model. The Osaka Metropolitan University-led team used artificial intelligence to pore through the vast amounts of data being acquired from space telescopes, finding bubble-like structures that had not been included in existing astronomical databases.

It feels like everything is slowly but surely being affected by the rise of artificial intelligence (AI). And like every other disruptive technology before it, AI is having both positive and negative outcomes for society.

A new study from McGill University researchers suggests the use of artificial intelligence (AI) to rapidly analyze vast amounts of biodiversity data could revolutionize conservation efforts by enabling scientists and policymakers to make better-informed decisions.

School mathematics in South Africa is often seen as a sign of the health of the education system more generally. Under the racial laws of apartheid, until 1994, African people were severely restricted from learning math. Tracking the changes in math performance is a measure of how far the country has traveled in overcoming past injustices. Math is also an essential foundation for meeting the challenges of the future, like artificial intelligence, climate change, energy and sustainable development.

An ambitious start-up embodies new optimism that artificial intelligence can turbocharge scientific discovery.

When artificial intelligence-backed tractors became available to vineyards, Tom Gamble wanted to be an early adopter. He knew there would be a learning curve, but Gamble decided the technology was worth figuring out.

A Texas A&M Veterinary Education, Research, & Outreach (VERO) program-led research team is studying whether artificial intelligence (AI) could play a supportive role in the evaluation of respiratory disease in pigs.

A team of scientists have developed a method to illuminate the dynamic behavior of nanoparticles, which are foundational components in the creation of pharmaceuticals, electronics, and industrial and energy-conversion materials. The advance, reported in the journal Science, combines artificial intelligence with electron microscopy to render visuals of how these tiny bits of matter respond to stimuli.

From Wall Street trading to warehouse logistics, artificial intelligence has proved it can outperform humans. In new research from Texas McCombs, AI takes on humans at an even higher-level business function: strategic decision-making.

A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an innovative artificial intelligence (AI)-enabled, low-cost device that will make flow cytometry—a technique used to analyze cells or particles in a fluid using a laser beam—affordable and accessible.

The National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science user facility at DOE's Brookhaven National Laboratory—is among the world's most advanced synchrotron light sources, enabling and supporting science across various disciplines. Advances in automation, robotics, artificial intelligence (AI), and machine learning (ML) are transforming how research is done at NSLS-II, streamlining workflows, enhancing productivity, and alleviating workloads for both users and staff.

Can artificial intelligence help us understand what animals feel? A pioneering study suggests the answer is yes. Researchers from the Department of Biology at the University of Copenhagen have successfully trained a machine-learning model to distinguish between positive and negative emotions in seven different ungulate species, including cows, pigs, and wild boars. By analyzing the acoustic patterns of their vocalizations, the model achieved an impressive accuracy of 89.49%, marking the first cross-species study to detect emotional valence using AI.

Thirty-four artworks created with artificial intelligence (AI) have gone up for sale at Christie's in New York, in the famed auction house's first collection dedicated to AI art.

A research team led by Rumi Chunara—an NYU associate professor with appointments in both the Tandon School of Engineering and the School of Global Public Health—has unveiled a new artificial intelligence (AI) system that uses satellite imagery to track urban green spaces more accurately than prior methods, critical to ensuring healthy cities.

A new paper by Harvard economists David Deming and Lawrence H. Summers offers early evidence of artificial intelligence shaking up the workforce.

An interdisciplinary research team from Leipzig University and the Saxon AI center ScaDS.AI has developed a novel approach that integrates artificial intelligence (AI) methods with biophysical modeling. This innovative strategy can be applied to the development of new therapeutics, such as antibodies and vaccines, including those for pandemic preparedness.

Knife Hunter, a new AI system developed by the University of Surrey, is offering "a glimpse of a not-too-distant future" where Britain's police forces and local authorities use AI to tackle knife crime in London and across the country.

Australian researchers are designing a global real-time monitoring system to help save the world's coral reefs from further decline, primarily due to bleaching caused by global warming. The study has been published in the journal Electronics.

A game of chess requires its players to think several moves ahead, a skill that computer programs have mastered over the years. Back in 1996, an IBM supercomputer famously beat the then world chess champion Garry Kasparov. Later, in 2017, an artificial intelligence (AI) program developed by Google DeepMind, called AlphaZero, triumphed over the best computerized chess engines of the time after training itself to play the game in a matter of hours.

CSIRO, Australia's national science agency, has developed an advanced artificial intelligence (AI) tool for assisting in the estimation of biological sex from human skulls.

According to a false video generated using artificial intelligence (AI) that went viral on social media, American media personality Kim Kardashian manipulates people online for money, and you are more likely to believe this if you come across the same video again online, according to a multi-country study by Nanyang Technological University, Singapore (NTU Singapore) published in the Journal of Broadcasting & Electronic Media.

Researchers at Rutgers University-New Brunswick have developed an artificial intelligence (AI) tool that will help predict endangered whale habitat, guiding ships along the Atlantic coast to avoid them. The tool is designed to prevent deadly accidents and inform conservation strategies and responsible ocean development.

The rapid advancement of technologies like artificial intelligence (AI) and the Internet of Things (IoT) has heightened the demand for high-speed, energy-efficient memory devices. Traditional memory technologies often struggle to balance performance with power consumption.

Late last year, ChatGPT was used by a Victorian child protection worker to draft documents. In a glaring error, ChatGPT referred to a "doll" used for sexual purposes as an "age-appropriate toy." Following this, the Victorian information commissioner banned the use of generative artificial intelligence (AI) in child protection.

The UK government's efforts to integrate artificial intelligence (AI) into public services and stimulate economic growth represents a pivotal step in the roll out of the technology in this country.

Fish welfare is, of course, a critical topic in salmon farming. It is therefore important to see the fish as individuals, rather than just a group. Researchers have used camera technology combined with artificial intelligence to monitor and analyze the breathing rates of individual fish.

Retailers are rapidly adopting artificial intelligence and subscription-based models to enhance customer loyalty and drive growth, according to a new study from the University at Buffalo School of Management.

New Zealand and Flinders University experts have deployed artificial intelligence and 3D laser scanning to accurately map planted pine (radiata) forests for most of NZ's North Island.

In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of explainable artificial intelligence (XAI) methods in geoscience.

Scientists hope a mix of artificial intelligence and human expertise will help decipher ancient scrolls carbonized by a volcanic eruption 2,000 years ago.

As artificial intelligence becomes increasingly integrated into higher education, questions arise about its role in fostering critical thinking and inquiry—especially in the humanities. How can open-access generative AI tools enhance students' curiosity while promoting critical questioning skills? What strategies can educators use to teach with, rather than against, AI?

Artificial intelligence (AI) was designed to solve problems, enhance productivity, and push the boundaries of innovation. But since the rise of generative AI such as ChatGPT and DALL-E, people have had concerns about its potential to overshadow or replace key human skills.

Meteoroid impacts create seismic waves that cause Mars to shake more strongly and deeply than previously thought. This is shown by an investigation using artificial intelligence carried out by an international research team led by the University of Bern. Similarities were found between numerous meteoroid impacts on the surface of Mars and marsquakes recorded by NASA's Mars lander InSight. These findings open up a new perspective on the impact rate and seismic dynamics of the red planet.

A Virginia Tech study found that while generative artificial intelligence (AI) tools such as ChatGPT, Google's Gemini, and Microsoft's Copilot are gaining traction in higher education, significant gaps in usage and attitudes persist.

Air quality monitors powered by artificial intelligence (AI) are being deployed in Uganda's capital city in efforts to drive down pollution-related illnesses, especially among vulnerable populations.

A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can predict which genes are expressed in any type of human cell. The model, called EpiBERT, was inspired by BERT, a deep learning model designed to understand and generate human-like language.

Alibaba claims that its Qwen2.5-Max artificial intelligence model outperformed its rivals at OpenAI, Meta and DeepSeek.

Results of a new Wiley survey suggest workers' top anticipated challenges for the year ahead are closely related to artificial intelligence (AI) and its rapid evolution and impact on the workplace.

University of Wollongong (UOW) researchers Lachlan Baker and Dr. Katharina Peters have co-authored a study exploring the use of artificial intelligence (AI) to monitor recreational fishing activities. Published in the New Zealand Journal of Marine and Freshwater Research, the research presents a fresh approach to data collection, offering significant potential to enhance fisheries management and sustainability.

The Bulletin of the Atomic Scientists shifted the hands of the symbolic clock to 89 seconds to midnight, citing the threat of climate change, nuclear war and the misuse of artificial intelligence.

An artificial intelligence model has created a new protein that researchers say would have taken 500 million years to evolve in nature — if nature were capable of producing such a thing.

The oil company plans to build natural gas power plants that will be directly connected to data centers used by technology companies for artificial intelligence and other services.

Research co-led by University of Toronto researchers and Insilico Medicine has demonstrated the potential of quantum computing and artificial intelligence to transform the drug discovery pipeline.

DeepSeek-R1, a new reasoning model made by Chinese researchers, completes tasks with a comparable proficiency to OpenAI's o1 at a fraction of the cost.

By refining an artificial intelligence approach to predicting earthquakes in the laboratory, or labquakes, engineers at Penn State are paving the way to one day help forecast natural earthquakes.

Digital platforms and artificial intelligence can enhance the agility, flexibility and resilience of business-to-business (B2B) service companies in volatile markets, a new study from the University of Eastern Finland shows. However, technology alone is not enough, as companies also need capabilities for managing strategic change. Published in Industrial Marketing Management, the qualitative study examined the evolution of capabilities in four service companies that had adopted a digital platform.

Many companies are making substantial investments in artificial intelligence (AI), which can enhance decision-making processes, foster innovation, increase productivity, and have other advantages.

A recent commentary article by researchers from Northwestern University, Harvard University, and The University of Texas at San Antonio highlights the significant but overlooked environmental and social impacts of Generative Artificial Intelligence (GenAI).

Crop farmers in South Texas are witnessing the future of agriculture unfold with the advent of digital-twin technology. Spearheaded by Texas A&M AgriLife Research, this cutting-edge approach combines remote sensing, big data and artificial intelligence to simulate and predict real-world crop production scenarios.

The aurora borealis, or northern lights, is known for a stunning spectacle of light in the night sky, but this near-Earth manifestation, which is caused by explosive activity on the sun and carried by the solar wind, can also interrupt vital communications and security infrastructure on Earth. Using artificial intelligence, researchers at the University of New Hampshire have categorized and labeled the largest-ever database of aurora images that could help scientists better understand and forecast the disruptive geomagnetic storms.

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a virtual Gram staining technique that could transform how microbiologists stain and classify bacteria. This new technology uses artificial intelligence to convert microscopic images of unstained bacteria into their Gram-stained equivalents, bypassing the traditional chemical staining process. The findings are published in the journal Science Advances.

Artificial intelligence facilitates an efficient, skillful surrogate of a coupled Arctic sea ice prediction model using generative diffusion.

As California students' math and English test scores continue to trail pre-pandemic scores and students struggle to recover from COVID-19 learning loss, one Bay Area innovator has turned to artificial intelligence for a solution.

An innovative artificial intelligence (AI) model, capable of predicting changes in Arctic sea ice up to a year in advance, has been developed. This model is expected to provide invaluable mid- to long-term forecasting information, thereby assisting in the development of Arctic sea routes and the exploration of marine resources.

By adapting artificial intelligence models known as large language models, researchers have made great progress in their ability to predict a protein's structure from its sequence. However, this approach hasn't been as successful for antibodies, in part because of the hypervariability seen in this type of protein.

Exclusive: Two London hospital trusts to trial tool that can predict those at risk up to 13 years before condition developsThe NHS in England is launching a world-first trial of a “gamechanging” artificial intelligence tool that can identify patients at risk of type 2 diabetes more than a decade before they develop the condition.More than 500 million people worldwide have type 2 diabetes, and finding new ways to spot people at risk before they develop the condition is a major global health priority. Estimates suggest 1 billion people will have type 2 diabetes by 2050. Continue reading...

Dr. Donggil Song, an associate professor in the Department of Engineering Technology and Industrial Distribution, is creating artificial intelligence (AI) applications and AI-based virtual reality (VR) platforms to provide dynamic and immersive educational experiences.

Artificial intelligence can provide critical insights into how complex mixtures of chemicals in rivers affect aquatic life—paving the way for better environmental protection.

Quantum computing offers the potential to solve complex problems faster than classical computers by leveraging the principles of quantum mechanics. Significant advancements have been made in areas, such as artificial intelligence, cryptography, deep learning, optimization, and solving complex equations.

Figuring out certain aspects of a material's electron structure can take a lot out of a computer—up to a million CPU hours, in fact. A team of Yale researchers, though, are using a type of artificial intelligence to make these calculations much faster and more accurately. Among other benefits, this makes it much easier to discover new materials. Their results are published in Nature Communications.

Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often arise in practice. One cause is data leakage, the illicit spillover of information from the training to the test data.

Citizen science and artificial intelligence (AI) offer immense potential for tackling urgent sustainability challenges, from health to climate change. Combined, they offer innovative solutions to accelerate progress on the UN Sustainable Development Goals (SDGs).

As managers face more pressure in implementing artificial intelligence (AI) into the workflow, a study from researchers at Florida Atlantic University and two other schools offers insights to help managers adapt.

The typical questions surveillance tends to animate — questions about privacy and consent, and even the existential worry over the creep of artificial intelligence into government surveillance — belie some more basic questions that many experts say have been largely overlooked: Do these systems actually work?

Noting that recent advances in artificial intelligence and the existence of large-scale experimental data about human biology have reached a critical mass, a team of researchers from Stanford University, Genentech, and the Chan-Zuckerberg Initiative says that science has an "unprecedented opportunity" to use artificial intelligence (AI) to create the world's first virtual human cell. Such a cell would be able to represent and simulate the precise behavior of human biomolecules, cells, and, eventually, tissues and organs.

A research team have recently published their article, "Rationally designed pooled CRISPRi-seq uncovers an inhibitor of bacterial peptidyl-tRNA hydrolase" in Cell Reports. In this study, the team created a collection of bacterial mutants to help them understand how a new type of antimicrobial molecule, discovered with their artificial intelligence tools, stops bacteria from growing.

Industry leaders attending the conference were asked about artificial intelligence, the economy, international relations and more.

Street art takes many forms, and the vibrant murals on the Berlin Wall both before and after its fall are expressions of people's opinions. But there was often secrecy around the processes for creating the paintings, which makes them hard to preserve. Now, researchers reporting in the Journal of the American Chemical Society have uncovered information about this historic site from paint chips by combining a handheld detector and artificial intelligence (AI) data analysis.

A pioneering study using an Artificial Intelligence (AI) interviewing platform has revealed new insights into the attitudes of Singaporean youths towards parenthood.

Artificial intelligence, AI, is rapidly transforming work also in the financial sector. A recent study conducted at the University of Eastern Finland explored how integrating AI into the work of sales teams affects the interpersonal communication competence required of sales managers.

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a new approach that combines generative artificial intelligence (AI) and first-principles simulations to predict three-dimensional atomic structures of highly complex materials.

Computer processing demands for artificial intelligence, or AI, are spurring increasing levels of deadly air pollution from power plants and backup diesel generators that continuously supply electricity to the fast-growing number of computer processing centers.

Three leading climate scientists have combined insights from 10 global climate models and, with the help of artificial intelligence (AI), conclude that regional warming thresholds are likely to be reached faster than previously estimated.

A pioneering Artificial Intelligence (AI) powered model able to understand the sequences and structure patterns that make up the genetic "language" of plants, has been launched by a research collaboration.

A smart irrigation system powered by artificial intelligence can tell sugarcane farmers when and where to water their crops in an advance that could one day revolutionize agriculture—and help preserve the health of the Great Barrier Reef.

A new artificial intelligence model that can predict how atoms arrange themselves in crystal structures could lead to faster discovery of new materials for everything from solar panels to computer chips.

A new artificial intelligence-based weather model can deliver 15-day forecasts with unrivaled accuracy and speed, a Google lab said, with potentially life-saving applications as climate change ramps up.

Although many tech companies and start-ups have touted the potential of automated fact-checking services powered by artificial intelligence to stem the rising tide of online misinformation, a new study led by researchers at Indiana University has found that AI-fact checking can, in some cases, actually increase belief in false headlines whose veracity the AI was unsure about, as well as decrease belief in true headlines mislabeled as false.

It's been the biggest year for elections in human history: 2024 is a "super-cycle" year in which 3.7 billion eligible voters in 72 countries had the chance to go the polls. These are also the first AI elections, where many feared that deepfakes and artificial intelligence-generated misinformation would overwhelm the democratic processes. As 2024 draws to a close, it's instructive to take stock of how democracy did.

Studies in which ChatGPT outperformed scientists and GPs raise troubling questions for the future of professional workAI means too many (different) things to too many people. We need better ways of talking – and thinking – about it. Cue, Drew Breunig, a gifted geek and cultural anthropologist, who has come up with a neat categorisation of the technology into three use cases: gods, interns and cogs.“Gods”, in this sense, would be “super-intelligent, artificial entities that do things autonomously”. In other words, the AGI (artificial general intelligence) that OpenAI’s Sam Altman...

What will humans be like generations from now in a world transformed by artificial intelligence (AI)? Plenty of thinkers have applied themselves to questions like this, considering how AI will alter lives—often for better, sometimes for worse.

Several top law firms are turning to specialists to beef up their artificial intelligence compliance practices in a way they wouldn't with more established areas of law.

Researchers from the Ateneo de Manila University have developed artificial intelligence (AI) deep learning tools that can help predict money market interest rates, invaluable for decision-makers in business and government.

Visualizing the potential impacts of a hurricane on people's homes before it hits can help residents prepare and decide whether to evacuate. MIT scientists have developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event. The method combines a generative artificial intelligence model with a physics-based flood model to create realistic, birds-eye-view images of a region, showing where flooding is likely to occur given the strength of an oncoming storm.

Artificial intelligence (AI) is rapidly transforming education, with schools and universities increasingly experimenting with AI chatbots to assist students in self-directed learning.

Nature is adept at designing proteins. Scientists are even better. But artificial intelligence holds the promise of improving proteins many times over. Medical applications for such "designer proteins" range from creating more precise antibodies for treating autoimmune conditions or cancers to more effective vaccines against viruses. Applications may extend beyond medicine to—for example—growing better crops that could be more nutritious or absorb more carbon dioxide from the atmosphere.

How can artificial intelligence (AI) help accelerate scientific discovery based on vast amounts of experimental data? A new study by Prof. Li Weixue's team from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences shows how this can be achieved in heterogonous catalysis. The results were published in Science.

Researchers in Canada are using artificial intelligence to monitor the ongoing mass extinction of insects, hoping to collect data that can help reverse species collapse and avert catastrophe for the planet.

In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data.

From climate change to geopolitical instability to health emergencies, we are entering a period of momentous change. The technology industry likes to tell us that the antidote is artificial intelligence (AI).

As artificial intelligence (AI) becomes more common and sophisticated, its effects on human lives and societies raises new questions. A new paper published in The Quarterly Review of Biology posits how these new technologies might affect human evolution.

A new James Cook University study using artificial intelligence to analyze the structure of cone snail venom has had mixed results—but points to a bright future for AI in the field of biological research.

Despite being a mature technology in existence for over several decades, silicon photonic modulators face scrutiny from industry and academic experts. In a recent editorial interview, experts emphasize the need to explore alternatives beyond the traditional platforms. The discussion centers on innovative modulator materials and configurations that could cater to emerging applications in data centers, artificial intelligence, quantum information processing, and LIDAR. Experts also outline the challenges that lie ahead in this field.

Artificial intelligence (AI) makes important decisions that affect our everyday lives. These decisions are implemented by firms and institutions in the name of efficiency. They can help determine who gets into college, who lands a job, who receives medical treatment and who qualifies for government assistance.

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a revolutionary new method to analyze complex datasets that's more flexible, accurate and easy to use.

This week on Entanglements, hosts Brooke Borel and Anna Rothschild talk to a former OpenAI employee and a Princeton professor about AI and doom. Could AI really become an existential threat to humanity? Or is the possibility — highlighted by some 300 AI experts in an open letter last year — overhyped?

Harnessing the power of artificial intelligence (AI) and the world's fastest supercomputers, a research team led by the U.S. Department of Energy's (DOE) Argonne National Laboratory has developed an innovative computing framework to speed up the design of new proteins.

The new director overseeing medical devices will confront criticisms about hasty approvals as she ushers in revolutionary technology.

As AI technology progresses, the energy demands of training complex AI models have surged, raising widespread concerns about associated carbon emissions. This rapid growth is fueled by global demand across industries and academia, leading to exponential increases in computing power that carry significant environmental consequences.

Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases.

A new study highlights key challenges and tensions in research ethics, particularly in light of emerging technologies such as artificial intelligence, and calls for the adoption of new research ethics policies.

Artificial intelligence-generated summaries of scientific papers make complex information more understandable for the public compared with human-written summaries, according to my recent paper published in PNAS Nexus. AI-generated summaries not only improved public comprehension of science but also enhanced how people perceived scientists.

Residents say Mr. Musk’s data center for artificial intelligence is compounding their pollution burden and adding stress on the local electrical grid.

A new study found promise in the “DebunkBot” — an AI chatbot used to challenge beliefs in conspiracies, such as that the 2020 election involved voter fraud. But experts say that while artificial intelligence could help combat falsehoods, it also raises concerns about potential misuse.

Should employers prioritize efficiency at all costs? It might seem like a good idea. More processes than ever before can now be automated with robotics, artificial intelligence and other technology.

Not all deepfakes are bad. Deepfakes—digital artifacts including photos, videos and audio that have been generated or modified using artificial intelligence (AI) software—often look and sound real. Deepfake content has been used to dupe viewers, spread fake news, sow disinformation and perpetuate hoaxes across the internet.

Researchers from Queen Mary University of London and Paragraf Limited have demonstrated a significant step forward in the development of graphene-based memristors and unlocking their potential for use in future computing systems and artificial intelligence (AI).

Animal sounds combined with artificial intelligence (AI) can revolutionize biodiversity monitoring both on land and in aquatic settings according to researchers from the University of Copenhagen. By analyzing wildlife sounds, AI can now identify species more accurately and efficiently than ever before and provide unique insights into the behaviors and habitats of animals without disturbing them.

Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of four-dimensional scanning transmission electron microscopy (4D STEM) images.

In the age of artificial intelligence (AI), foreign language learning can seem like it's becoming obsolete. Why invest the time and effort to learn another language when technology can do it for you?

Finding agreement through a free exchange of views is often difficult. Collective deliberation can be slow, difficult to scale, and unequally attentive to different voices. In this study, we trained an artificial intelligence (AI) to mediate human ...

Researchers at the University of Zurich (UZH) have used artificial intelligence (AI) to help identify antibiotic-resistant bacteria. The team led by Adrian Egli, UZH professor at the Institute of Medical Microbiology, is the first to investigate how GPT-4, a powerful AI model developed by OpenAI, can be used to analyze antibiotic resistance.

Microsoft announced a deal to revive Three Mile Island and buy all of the nuclear power plant’s electricity as the demands of its artificial intelligence data centers increase. One anthropologist asks whether a dying 20th century technology that didn’t fulfill its promises should be used to power a new and similarly uncertain one.

When it comes to artificial intelligence (AI) and news production, Canadian news consumers want to know when, how and why AI is part of journalistic work. And if they don't get that transparency, they could lose trust in news organizations.

A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of companies, favored certain facial expressions, speaking styles and tones of voice, disproportionately disadvantaging minority candidates.

Utilizing advanced artificial intelligence and citizen science data from the iNaturalist app, researchers at the University of California, Berkeley, have developed some of the most detailed maps yet showcasing the distribution of California plant species.

From designing new drug candidates in medicine to drafting new taxation policies in social sciences, the benefits of artificial intelligence (AI) in scientific research are all around.

New research from the Monash Business School has found that throughout the job recruitment process, women believe artificial intelligence assessments reduce bias, while men fear it removes an advantage.

By combining the genetic sequencing and analysis of the microbes in a milk sample with artificial intelligence (AI), researchers were able to detect anomalies in milk production, such as contamination or unauthorized additives. The new approach could help improve dairy safety, according to the study authors from Penn State, Cornell University and IBM Research.

The winners of the Nobel Prize in Chemistry for work revealing the secrets of proteins through artificial intelligence said Wednesday they hoped their research would "open the door to many incredible scientific breakthroughs".

New artificial intelligence (AI) models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy, but also correctly predicting plasma heating in cases where the original numerical code failed. The models will be presented on October 11 at the 66th Annual Meeting of the American Physical Society Division of Plasma Physics in Atlanta.

Long before Demis Hassabis pioneered artificial intelligence techniques to earn a Nobel prize, he was a master of board games.

Artificial intelligence (AI) has been used to reveal details of a diverse and fundamental branch of life living right under our feet and in every corner of the globe.

The development of new compounds and science aided by artificial intelligence are some of the research fields commentators say could be contenders for the Nobel Chemistry Prize announced Wednesday.

Wars, a refugee crisis, famine and artificial intelligence could all be recognized when Nobel Prize announcements begin next week under a shroud of violence.

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power efficiency but has yet to be realized due to constraints and drawbacks.

Artificial intelligence is already disrupting industries from banking and finance to film and journalism, and scientists are investigating how AI might revolutionize their field—or even win a Nobel Prize.

A new study led by staff from the Wildlife Conservation Society (WCS) in East Africa has used a predictive artificial intelligence (AI) algorithm to confirm the location of previously-unmapped high marine biodiversity areas along Mozambique's extensive coastline.

From Nike and Google to Coca-Cola and McDonald's, major brands are incorporating artificial intelligence (AI) into their advertising campaigns. But how do consumers feel about robots generating emotionally charged marketing content? That's the question a New York Institute of Technology professor raises in a new Journal of Business Research study.

Professional and amateur astronomers have made a groundbreaking discovery with the help of artificial intelligence, identifying a unique triple star system named TIC 290061484. This stellar trio was uncovered through cosmic "strobe lights" observed by NASA's Transiting Exoplanet Survey Satellite (TESS).

Artificial intelligence’s hunger for energy has set off a boom in utility stocks and may lead to the reopening of the Three Mile Island nuclear plant, our columnist says.

Transport proteins are responsible for the ongoing movement of substrates into and out of a biological cell. However, it is difficult to determine which substrates a specific protein can transport. Bioinformaticians at Heinrich Heine University Düsseldorf (HHU) have developed a model—called SPOT—that can predict this with a high degree of accuracy using artificial intelligence (AI).

A new artificial intelligence model developed by researchers at The University of Texas at Austin paves the way for more effective and less toxic treatments and new preventive strategies in medicine. The AI model informs the design of protein-based therapies and vaccines by leveraging the underlying logic from nature's evolutionary processes.

Artificial intelligence-driven tools such as ChatGPT threaten to flood the internet with machine-generated content, making the question of what data to archive more challenging. Libraries, with their public support, are the best places to decide what on the web is worth keeping, one cryptographer writes.

Nerida Wilson uses artificial intelligence to identify seadragons in photos taken by citizen scientists.

Overwhelmed by queries, physicians are turning to artificial intelligence to correspond with patients. Many have no clue that the replies are software-generated.

Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they collaborate to find ways for these algorithms and models to analyze datasets to better understand and predict a world impacted by climate change.

Higher education is facing a tough challenge as it adapts to the advent of artificial intelligence. To combat it, a University of Mississippi professor proposes using one of academia's oldest weapons: debate.

While much has been made of artificial intelligence's promise to improve educational opportunities and outcomes, a group of Stanford students is highlighting the importance of a different perspective on AI in education: It isn't just about using AI to bridge gaps in educating our students. It is also about how we "educate" AI.

The world remains far off track in tackling climate crisis, but the UN voiced hope Wednesday that artificial intelligence and other cutting-edge technologies will help address the towering challenges.

Stanford researchers have developed an artificial intelligence-based tool—dubbed SandAI—that can reveal the history of quartz sand grains going back hundreds of millions of years. With SandAI, researchers can tell with high accuracy if wind, rivers, waves, or glacial movements shaped and deposited motes of sand.

In a published in the journal npj Computational Materials, Oak Ridge National Laboratory scientists developed a deep learning model—a type of artificial intelligence that mimics human brain function—to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition, or PLD.

New research published in Science shows that for some people who believe in conspiracy theories, a fact-based conversation with an artificial intelligence (AI) chatbot can "pull them out of the rabbit hole." Better yet, it seems to keep them out for at least two months.

A Western study could help farmers get out of a potential jam by using artificial intelligence (AI) and passive camera monitoring to enhance strawberry cultivation.

Artificial intelligence applied in disaster management must be reliable, accurate, and, above all, transparent. But what does transparency in AI mean, why do we need it, and how is it achieved?

Integrating artificial intelligence into today's environmental control systems could reduce energy consumption for indoor agriculture by 25%—potentially helping to feed the world as its population rises, Cornell engineers have found.

An assist from a Google Artificial Intelligence tool has helped scientists discover how the proteins of a heat-loving microbe respond to the crushing conditions of the planet's deepest ocean trenches, offering new insights into how these building blocks of life might have evolved under early Earth conditions.

Researchers at Auburn University, in collaboration with scientists from the University of Basel and ETH Zurich, have made an advance in the fight against cancer. The team, led by Dr. Rafael Bernardi, Associate Professor of Biophysics in the Department of Physics, has developed a novel approach integrating artificial intelligence (AI) with molecular dynamics simulations and network analysis to enhance the prediction of binding sites on the PD-L1 protein. This breakthrough promises to accelerate the development of personalized cancer treatments by identifying critical interaction points in cancer...

A research team primarily based at New York University (NYU) has achieved a breakthrough in ornithology and artificial intelligence by developing an end-to-end system to detect and identify the subtle nocturnal calls of migrating birds.

Scientists are pioneering the use of machine-learning artificial intelligence software to investigate viruses, revealing never-before-seen viral mechanisms which yield immediate fundamental insights and pave the way for vaccine development.

Recent research from the University of Bath shows discrimination against women worsens if Artificial Intelligence (AI) is used by lenders for loans, but that ethical lenders could choose to tweak the AI algorithms to address this bias and still improve their profits as well as their brand reputation.

Canadian society is progressing deeper into the digital age. Artificial intelligence (AI) technologies—like the generative AI ChatGPT and the legal platform Harvey—are increasingly shaping judicial processes and legal systems, including in the adjudication of intricate cases.

A team of researchers at the International Rice Research Institute (IRRI) has identified genes and markers responsible for low glycemic index (GI) and high protein content in rice, using genetics and artificial intelligence classification methods.

The Department of Energy's Oak Ridge National Laboratory added a new neutron scattering instrument to its powerhouse of discovery at the Spallation Neutron Source, charting new territory for neutron imaging through artificial intelligence. In July, DOE's Office of Science approved the final commissioning of the Versatile Neutron Imaging Instrument, or VENUS.

Carbon, of all things, could help us to push forward the decarbonization of our industrial society. Functional carbon particles, known as carbon dots, can transform sunlight into energy and extract hydrogen from water. Prof. Dr. Dirk M. Guldi, a chemist at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), researches the molecular structure of such nanoparticles and uses artificial intelligence in the process.

The Vesuvius Challenge is an unparalleled competition in the field of classical studies, with the potential to pave the way for something akin to a second Renaissance. Its objective is to use artificial intelligence (AI) to virtually unroll hundreds of closed papyrus scrolls, containing ancient literature that has not been seen for 2,000 years.

Researchers at the University of Toronto are using artificial intelligence to accelerate scientific breakthroughs in the search for sustainable energy. They have used the Canadian Light Source (CLS) at the University of Saskatchewan (USask) to confirm that an AI-generated "recipe" for a new catalyst offered a more efficient way to make hydrogen fuel.

Artificial intelligence (AI) is a powerful tool. In the hands of public police and other criminal justice agencies, AI can lead to injustice. For example, Detroit resident Robert Williams was arrested in front of his children and held in detention for a night after a false positive in an AI facial recognition system. Williams had his name in the system for years and had to sue the police and local government for wrongful arrest to get it removed. He eventually found out that faulty AI had identified him as the suspect.

The standard model of the universe relies on just six numbers. Using a new approach powered by artificial intelligence, researchers at the Flatiron Institute and their colleagues extracted information hidden in the distribution of galaxies to estimate the values of five of these so-called cosmological parameters with incredible precision.

Artificial intelligence tools such as ChatGPT show promise as a useful means in agriculture to write simple computer programs for microcontrollers, according to a study published this month.

The rapid development of technologies such as the internet, mobile communications, and artificial intelligence has dramatically increased the demand for high-capacity communication systems. Among various solutions, mode-division multiplexing (MDM) has emerged as a crucial technique, utilizing spatial modes like orbital angular momentum (OAM) to enhance communication capacity.

A researcher at the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) is discovering new ways for veterinarians to use artificial intelligence (AI) tools in both the clinic and the classroom.

Researchers from the University of Adelaide advise that more caution should be exercised for the use of generative artificial intelligence (AI) in educational contexts. This comes after a new study highlights key differences between modern technology and important ancient philosophy in education.

ChatGPT, the generative artificial intelligence technology developed by OpenAI, could help humans with daily, creative tasks—even those typically thought to require the human ability to "read between the lines," according to new research by the University of Houston and Rice University. Its capability has proven to be superior compared to traditional Google search or even human brainstorming without any technical assistance, the study authors argue.

Scientists have found a new way to predict how proteins change their shape when they function, which is important for understanding how they work in living systems. While recent artificial intelligence (AI) technology has made it possible to predict what proteins look like in their resting state, figuring out how they move is still challenging because there is not enough direct data from experiments on protein motions to train the neural networks.

Φsat-2, ESA's groundbreaking cubesat designed to revolutionize Earth observation with artificial intelligence, has launched.

Artificial intelligence (AI) has exploded in popularity. It powers models that help us drive vehicles, proofread emails and even design new molecules for medications. But just like a human, it's hard to read AI's mind.

In the search for less energy-hungry artificial intelligence, some scientists are exploring living computers.

As the use of generative artificial intelligence continues to extend into all reaches of education, much of the concern related to its impact on cheating has focused on essays, essay exam questions and other narrative assignments. Use of AI tools such as ChatGPT to cheat on multiple-choice exams has largely gone ignored.

The advent of artificial intelligence (AI) presents several new and exciting opportunities for improving the quality of education. While several ways of integrating AI into schooling have been explored, only a few of them consider changing the traditional school operations and educational practices.

While new technologies, including those powered by artificial intelligence, provide innovative solutions to a steadily growing range of problems, these tools are only as good as the data they're trained on.

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a technological advance that promises to reduce the time required to develop new drugs and other medical treatments.

Artificial intelligence (AI) can help identify molecules that could serve as new drugs for mental health disorders. AI can be used to predict the three-dimensional structures of important receptors and thereby speed up the development of potential drugs. This is the result of a new study from Uppsala University published in Science Advances.

Artificial intelligence (AI) has revolutionized our lives in myriad ways, from personalizing our social media feeds to giving us driving directions and monitoring our health.

EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics.

In a paper, titled "Partial coherence enhances parallelized photonic computing," published in Nature, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg, and Ghent, report that replacing lasers with less complex light sources can surprisingly boost performance in some optical applications, such as light-driven AI technologies.

Made up of Tunisia, Libya, Morocco, Egypt and Algeria, north Africa is a melting pot of cultures with two predominant human populations with their own language and culture: the Arabs and the Imazighen. Part of their history has been buried beneath the desert, from which some research has extracted human remains up to 300,000 years old. However, their origins remained a mystery.

Multitasking robots collaborate with humans in large warehouses, and chatbots respond to queries on banking websites. Artificial intelligence assistants even sort documents for law firms. William & Mary Assistant Professor of Computer Science Janice Zhang says that it's only a matter of time before AI and large language model (LLM) tools are widely used in education, as well.

Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help overcome this challenge.

A new artificial intelligence program will help identify wildfires as small as an acre by scanning images taken by weather satellites orbiting about 22,000 miles above the Earth's surface.

It has never been easier to spread false or misleading information online. The anonymous, impersonal nature of the internet, combined with advanced tools like artificial intelligence, makes it trivial for bad actors to manipulate the truth and challenging for everyone else to separate reality from fiction. In this modern climate of disinformation, understanding how falsehoods and rumors spread is crucial for combating them.

A new system for forecasting weather and predicting future climate uses artificial intelligence (AI) to achieve results comparable with the best existing models while using much less computer power, according to its creators.

A surprising technique has helped scientists observe how Earth's oceans are changing, and it's not using specialized robots or artificial intelligence. It's tagging seals.

In a move to advance the frontiers of artificial intelligence, the Quantitative Biology journal has published a commentary titled "Current Opinions on Large Cellular Models," highlighting the cutting-edge developments in the field of large cellular models (LCMs).

Data collected by satellites, drones, radars and microscopes provide a goldmine of information to better understand our environment. And when these data are coupled with artificial intelligence (AI), they can unlock the secrets of phenomena taking place at all levels. 

Job applicants can be suspicious of the hiring process if a company uses artificial intelligence to pre-screen candidates and facilitate hiring decisions, a Northeastern University expert says, but their perception improves when they learn that an algorithm is "blind" to such characteristics as gender, race or age.

Like people, materials evolve over time. They also behave differently when they are stressed and relaxed. Scientists looking to measure the dynamics of how materials change have developed a new technique that leverages X-ray photon correlation spectroscopy (XPCS), artificial intelligence (AI) and machine learning.

Could artificial intelligence help overcome one of quantum computing's biggest roadblocks?

Imagine you are a law enforcement official at a wildlife market and suspect some of the birds on sale are from endangered or illegally traded populations. This is a situation that demands decisive identification and action, but in cases where "look-alike species" are easily mistaken for each other, simple physical traits like color and size may not be enough to enable proper identification on the spot. Things get even trickier when unscrupulous traders dye birds or otherwise alter their appearance to make them resemble other species that command higher prices.

Twentieth century Swedish labor market policy was not solely shaped by inter-class cooperation, but also by tough conflicts. Industrial rationalization and investments in new technology were met with protests from workers. A new doctoral thesis reveals parallels between technological changes during 1920–1950 and the transition we face today with, for example, artificial intelligence and automation.

Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications. The paper is published in the Journal of Chemical Theory and Computation.

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time it takes for a correct diagnosis, Cambridge researchers have shown. The team determined that an algorithm could be trained to identify drug-resistant bacteria correctly from microscopy images alone.

Earlier this year, New Hampshire voters received a phone message that sounded like President Joe Biden, discouraging them to vote in the state's primary election. The voice on the line, however, was not really Biden's—it was a robocall created with artificial intelligence (AI) to deceptively mimic the president.

Speech recognition, weather forecasts, smart home applications: Artificial intelligence and the Internet of Things are enhancing our everyday lives. Systems based on reservoir computing are a very promising new field.

Artificial intelligence technologies have achieved remarkable successes and continue to show their value as backbones in scientific research and real-world applications.

Artificial intelligence is revolutionizing the way scientists monitor wildlife and find new species, but how effective are these new systems?

A research team has developed an optimal artificial intelligence model to predict the yield strength of various metals, effectively addressing traditional cost and time limitations. This research has been published in the online edition of Acta Materialia.

Although people lie a lot, they typically refrain from accusing others of lying because of social norms around making false accusations and being polite. But artificial intelligence (AI) could soon shake up the rules.

Scientists at the University of Tasmania are using groundbreaking artificial intelligence (AI) technology to tackle the spread of Devil Facial Tumor 2 (DFT2).

New analyses from the Annenberg Public Policy Center find that public perceptions of scientists' credibility—measured as their competence, trustworthiness, and the extent to which they are perceived to share an individual's values—remain high, but their perceived competence and trustworthiness eroded somewhat between 2023 and 2024. The research also found that public perceptions of scientists working in artificial intelligence (AI) differ from those of scientists as a whole.

Conventional wisdom holds that the island of Rapa Nui, also known as Easter Island, once had a large population that crashed after living beyond its means and stripping the island of resources. A new research study my colleagues and I conducted has struck another blow to this notion by using artificial intelligence to analyze satellite data about piles of rocks on this tiny island in the middle of the Pacific Ocean.

Artificial intelligence has taken the world by storm lately. It also requires loads of band-end computing capability to do the near-miraculous things that it does. So far, that "compute," as it's known in the tech industry, has been based entirely on the ground. But is there an economic reason to do it in space? Some people seem to think so, as there has been a growing interest in space-based data centers. Let's take a look at why.

By rapidly analyzing large amounts of data and making accurate predictions, artificial intelligence (AI) tools could help to answer many long-standing research questions. For instance, they could help to identify new materials to fabricate electronics or the patterns in brain activity associated with specific human behaviors.

Artificial intelligence (AI) is accelerating the development of new materials. A prerequisite for AI in materials research is large-scale use and exchange of data on materials, which is facilitated by a broad international standard. A major international collaboration now presents an extended version of the OPTIMADE standard.

Children and young people's understanding of artificial intelligence and AI technologies improved when the basics of AI were taught in school through hands-on activities supported by new educational technology, a recent study among more than 200 Finnish 4th and 7th graders shows.

The rise of advanced artificial intelligence (edge AI) could well mark the beginning of a new era for sustainable agriculture. A recent study proposes a roadmap for integrating this technology into farming practices. The aim? To improve the efficiency, quality and safety of agricultural production, while addressing a range of environmental, social and economic challenges.

Australian researchers, led by Monash University, have invented a new artificial intelligence (AI) tool which is poised to reshape virtual screening in early stage drug discovery and enhance scientists' ability to identify potential new medicines.

There has been a lot of hype about the emergence of generative AI products such as ChatGPT. Organizations, including news outlets, are rapidly adopting artificial intelligence technologies to boost productivity and creativity. Some news organizations are also cutting deals with AI companies to pay them for scraping their content.

From chatbots giving truly terrible health advice to facial recognition software incorrectly flagging members of congress as criminals, here are some of the most catastrophic mistakes artificial intelligence has ever made.

A new essay on the rise of superintelligent machines pivots from being a warning to humanity to a rallying cry for an industrial complex to bolster American military defence Ten years ago, the Oxford philosopher Nick Bostrom published Superintelligence, a book exploring how superintelligent machines could be created and what the implications of such technology might be. One was that such a machine, if it were created, would be difficult to control and might even take over the world in order to achieve its goals (which in Bostrom’s celebrated thought experiment was to make paperclips).The book...

Fine motor tasks under space conditions are particularly challenging and must first be trained on Earth. Scientists from the German Research Center for Artificial Intelligence (DFKI) and the University of Duisburg-Essen (UDE) are investigating whether a robotic exoskeleton that can simulate weightlessness is suitable for astronautical training.

This week, about 50 female students from Victoria's Bacchus Marsh Grammar School found fake, sexually explicit images of themselves shared without their consent on Instagram and Snapchat. Images of their faces, purportedly obtained from social media, were stitched onto pornographic images using artificial intelligence (AI).

Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool developed at Oak Ridge National Laboratory that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.

Quantum computers have the potential to solve complex problems in human health, drug discovery, and artificial intelligence millions of times faster than some of the world's fastest supercomputers. A network of quantum computers could advance these discoveries even faster. But before that can happen, the computer industry will need a reliable way to string together billions of qubits—or quantum bits—with atomic precision.

As India concluded the world's largest election on June 5, 2024, with over 640 million votes counted, observers could assess how the various parties and factions used artificial intelligence technologies—and what lessons that holds for the rest of the world.

The artificial intelligence (AI) revolution has begun, spreading to almost every facet of people's professional and personal lives—including job recruitment.

As AI systems have grown in sophistication, so has their capacity for deception, according to a new analysis from researchers at Massachusetts Institute of Technology (MIT). Dr Peter Park, an AI existential safety researcher at MIT and author of the research, tells Ian Sample about the different examples of deception he uncovered, and why they will be so difficult to tackle as long as AI remains a black boxListen to the Guardian’s Black Box series all about humans and artificial intelligenceRead Hannah Devlin’s article about the MIT study Continue reading...

AlphaFold breakthrough may bolster work in fields from antibiotics and cancer therapy to resilient cropsResearchers have hailed another “leap forward” for artificial intelligence after Google DeepMind unveiled the latest version of its AlphaFold program, which can predict how proteins behave in the complex symphony of life.The breakthrough promises to shed fresh light on the biological machinery that underpins living organisms and drive breakthroughs in fields from antibiotics and cancer therapy to new materials and resilient crops. Continue reading...

Generative artificial intelligence (AI) tools are supercharging the problem of misinformation, disinformation and fake news. OpenAI's ChatGPT, Google's Gemini, and various image, voice and video generators have made it easier than ever to produce content, while making it harder to tell what is factual or real.

The recent firing and rapid rehiring of Sam Altman, the co-founder and CEO of ChatGPT creator OpenAI, illustrates the delicate dance between visionary CEOs and the boards who oversee them.

Pressure grows on artificial intelligence firms over the content used to train their productsBusiness live – latest updatesThe developer OpenAI has said it would be impossible to create tools like its groundbreaking chatbot ChatGPT without access to copyrighted material, as pressure grows on artificial intelligence firms over the content used to train their products.Chatbots such as ChatGPT and image generators like Stable Diffusion are “trained” on a vast trove of data taken from the internet, with much of it covered by copyright – a legal protection against someone’s work being used...

Demis Hassabis calls for greater regulation to quell existential fears over tech with above-human levels of intelligenceHope or horror? The great AI debate dividing its pioneersThe world must treat the risks from artificial intelligence as seriously as the climate crisis and cannot afford to delay its response, one of the technology’s leading figures has warned.Speaking as the UK government prepares to host a summit on AI safety, Demis Hassabis said oversight of the industry could start with a body similar to the Intergovernmental Panel on Climate Change (IPCC). Continue reading...

ChatGPT, the artificial intelligence (AI) chatbot developed by the company OpenAI, has a self-declared human alter ego. Her name is Maya, she's 35 years old and hails from a middle-class family in a suburban town in the United States. Maya is a successful software engineer who values self-direction, achievement, creativity and independence. She is also undeniably liberal.

An agoraphobic downloads an app that promises to turn his life around – but things begin to get sinister when it takes over his social interactionsThis disturbingly real-looking artificial intelligence sci-fi was made a couple of years ago on what looks like a budget of small change tipped out of the film-makers’ coin jars. It’s getting a release now presumably on account of AI anxiety creeping up the league table of things that keep people awake at night. Like the Nosedive episode of Charlie Brooker’s Black Mirror, the premise here is that in an apparently-near future people wear...

Large Language Models (LLMs) like ChatGPT are shaking up the world of finance. Morgan Stanley is testing an OpenAI-powered chatbot to assist their financial advisors. The bot, trained on the bank's own research reports, offers rapid access to their extensive proprietary knowledge base.

The artificial intelligence developer OpenAI promises to reshape the way people work and learn with its new chatbot called ChatGPT. At the University of Wisconsin–Madison, in fact, the large language model is already aiding materials engineers, who are harnessing its power to quickly and cost-effectively extract information from scientific literature.

The journalist and academic says that the bias encoded in artificial intelligence systems can’t be fixed with better data alone – the change has to be societalMeredith Broussard is a data journalist and academic whose research focuses on bias in artificial intelligence (AI). She has been in the vanguard of raising awareness and sounding the alarm about unchecked AI. Her previous book, Artificial Unintelligence (2018), coined the term “technochauvinism” to describe the blind belief in the superiority of tech solutions to solve our problems. She appeared in the Netflix documentary Coded...

AI experts say state needs to help create British version or risk national security and declining competitivenessThe UK needs to support the creation of a British version of ChatGPT, MPs were told on Wednesday, or the country will further lose the ability to determine its own fate.Speaking to the Commons science and technology committee, Adrian Joseph, BT’s chief data and artificial intelligence officer, said the government needed to have a national investment in “large language models”, the AI that underpins services such as ChatGPT, Bing Chat and Google’s Bard. Continue reading...

Since its release in November 2022, OpenAI's ChatGPT has caused a stir, with a stream of op-eds and news stories focused on the ways the program opens possibilities for academic misconduct by students.

The academic landscape shifted dramatically in November 2022 with the launch of ChatGPT, a chatbot developed by OpenAI. ChatGPT is artificial intelligence software that can write essays, poems, code and perform other tasks traditionally done by humans.

When the company OpenAI launched its new artificial intelligence program, ChatGPT, in late 2022, educators began to worry. ChatGPT could generate text that seemed like a human wrote it. How could teachers detect whether students were using language generated by an AI chatbot to cheat on a writing assignment?

ChatGPT is a powerful language model developed by OpenAI that has the ability to generate human-like text, making it capable of engaging in natural language conversations. This technology has the potential to revolutionize the way we interact with computers, and it has already begun to be integrated into various industries.

In 2022, OpenAI—one of the world's leading artificial intelligence research laboratories—released the text generator ChatGPT and the image generator DALL-E 2. While both programs represent monumental leaps in natural language processing and image generation, they've also been met with apprehension.

Exclusive: Tool predicts how likely tumours are to grow back in cancer patients after they have undergone treatmentDoctors and scientists have developed an artificial intelligence tool that can accurately predict how likely tumours are to grow back in cancer patients after they have undergone treatment.The breakthrough, described as “exciting” by clinical oncologists, could revolutionise the surveillance of patients. While treatment advances in recent years have boosted survival chances, there remains a risk that the disease might come back. Continue reading...

Research finds few image databases available to develop technology contain details on ethnicity or skin typeAI systems being developed to diagnose skin cancer run the risk of being less accurate for people with dark skin, research suggests.The potential of AI has led to developments in healthcare, with some studies suggesting image recognition technology based on machine learning algorithms can classify skin cancers as successfully as human experts. Continue reading...

Hopes that breakthrough marks new era where artificial intelligence can develop treatments for all types of cancerScientists have successfully used artificial intelligence to create a new drug regime for children with a deadly form of brain cancer that has not seen survival rates improve for more than half a century.The breakthrough, revealed in the journal Cancer Discovery, is set to usher in an “exciting” new era where AI can be harnessed to invent and develop new treatments for all types of cancer, experts say. Continue reading...