As concern rises over the risks of artificial intelligence, hopes for any kind of global approach depend on cooperation between the U.S. and China—superpowers that seem only to be more skeptical of each other's AI strategy.
OpenAI has disclosed six reports of "unexpected or concerning" behavior in artificial-intelligence models as the debate on AI safety becomes increasingly heated.
Queensland researchers have reached a milestone in powering Australia's critical minerals refining industry, successfully delivering the nation's first grid-connected sodium-sulfur (NaS) battery energy storage system enabled by Queensland-made DC-DC converters.
Artificial Intelligence (AI) is rapidly advancing—and with it, the promise of solving some of academia's toughest problems. But while many researchers focus on using AI to find answers, Associate Professor Hiroshi Kera of the Institute for Advanced Academic Research/Graduate School of Informatics is asking a different question: How can we design better problems for AI to solve?
A research team led by Professor Daehee Park of the Department of Electrical Engineering and Computer Science at DGIST, in collaboration with a research team from KAIST, has developed a learning technique that enables a single compact AI model to simultaneously predict the movements of nearby people and plan safe navigation paths for robots while reducing performance degradation in both tasks. The research was presented at the 19th European Conference on Computer Vision (ECCV 2026) held in Malmö, Sweden, Sept. 8–12. The paper is available on the arXiv preprint server.
Researchers at Durham University have developed a new drone navigation system that enables autonomous aircraft to fly faster, more smoothly and more safely through crowded and obstacle-filled environments. This leads to new possibilities for applications such as search and rescue, infrastructure inspection and environmental monitoring.
Researchers at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have developed a computational method that could help electric grid operators and data center developers manage power more efficiently as artificial intelligence drives unprecedented growth in electricity demand.
Biomass-derived oils are important sustainable alternatives to petroleum-based liquid fuels. However, biomass oil mixtures contain much higher concentrations of cyclic nitrogen compounds that contribute to NOx emissions and deactivate refining catalysts. This necessitates their removal by a hydrogen-intensive hydrodenitrogenation (HDN) process that consumes high energy. Therefore, efficient pre-HDN removal of nitrogen compounds is required to lower hydrogen and energy consumption when upgrading nitrogen-rich liquid fuels.
A new approach could help make future AI chips smaller and more energy-efficient. A KAIST-led research team has used a single material to address one of the major obstacles facing atomically thin semiconductors: the difficulty of efficiently injecting charge. The technology could contribute to next-generation AI and low-power semiconductor devices in which multiple ultrathin layers are vertically integrated to increase device density and performance.
A machine-learning system can identify fake, or spoofed, website addresses, according to research published in the International Journal of Electronic Security and Digital Forensics. The work offers a new tool to protect users against phishing attacks, in which attackers direct someone to a deceptive website to steal information such as bank logins or personal and private data.
Right now, your brain is recognizing the shapes of these letters, analyzing their meaning and holding a stream of thought together—all on about 20 watts of power. That's roughly what it takes to run a light bulb.
Deicing technologies often rely on heat to melt ice. But University of Texas at Dallas researchers have found that, under extreme cold, making ice even colder can weaken its grip on surfaces.
Storing energy as heat is a proven pathway to address the challenge solar power faces when it's dark or cloudy outside by enabling the capture, storage and on-demand release of thermal energy. The process, called high-temperature thermal energy storage (TES), however, can be prohibitively expensive.
The Canadian computer scientist Yoshua Bengio, considered one of the founders of AI, told AFP that humanity is "losing control" of the technology and that the world needs guardrails similar to nuclear arms controls.
MIT researchers have created a computing platform that could be used to develop intelligent and adaptive next-generation electronics that can perform multiple functions, like computing and memory, within one extremely compact, energy-efficient device.
A Maine lobster can end up in a roll, a bisque or a butter bath. At the University of Maine, what's left of it can now end up under a golf ball. Researchers at UMaine are making golf tees from discarded lobster shells. The project builds on more than a decade of UMaine research into new uses for an underutilized byproduct of Maine's lobster industry.
Since 1665, scholarly journals have served as written records of scientific advancement—static words on a page, references written by people for other people to read. That's about to change.
The Smart Materials research unit, coordinated by Athanassia Athanassiou, deputy scientific director of the Italian Institute of Technology (IIT-Istituto Italiano di Tecnologia) in Genoa, Italy, has developed a new method to make wood flexible in a controlled way and therefore easier to shape. Unlike current approaches, which are more energy-intensive or less sustainable, IIT's treatment could offer a green alternative.
Researchers at Maynooth University (MU) have developed a first-of-its-kind DNA computer, described as one of the most complex and fastest molecular computers yet reported.
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