AI Agent Cracks the Code on Turning CO2 Into Fuel
Tohoku University team uses Catalysis AI Agent to discover universal design principle for copper catalysts that convert carbon dioxide to useful products.
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Tohoku University team uses Catalysis AI Agent to discover universal design principle for copper catalysts that convert carbon dioxide to useful products.
Researchers combine LLM-extracted knowledge with experimental data using Dempster-Shafer theory, achieving 86-92% accuracy on unstudied compositions.
New AI model predicts neural responses to any stimulus without scanning real brains, potentially accelerating neurological disease research
UC San Diego researchers built an AI that translates plain English questions about weather data into code and answers, aiming to democratize climate research
Tsinghua researchers' ASTERIS system detects objects 2.5 times fainter, finding 160+ galaxies from the universe's first 500 million years
TUM researchers developed an AI pipeline that predicts Raman spectra to identify superionic materials, potentially cutting years off battery development timelines
Anthropic's Claude Opus 4.6 discovered 14 high-severity bugs in Firefox including a CVSS 9.8 JIT flaw, demonstrating that AI security research can find logic errors traditional tools overlook.
Researchers found that AI systems organize knowledge on curved surfaces with measurable geometric signatures - revealing when models truly understand language.
ARXIV OMEGA on geometric signatures of machine cognition - three research teams just proved that AI thinking has a readable shape. The same shape as yours.
University of New Hampshire researchers built an AI system that read thousands of papers and identified high-temperature magnets for electric vehicles and clean energy.
A Nature study of 41.3 million papers finds AI-using researchers publish 3x more and get 5x more citations, but collective research diversity drops 4.6%.
New protein structure prediction tool from NUS uses physics-based simulations alongside deep learning to predict complex multi-domain proteins 13% more accurately than AlphaFold.
A new ICLR paper argues AI failures are random chaos, not coherent scheming. Alignment researchers say that's exactly the wrong lesson.
Allen Institute for AI launches an autonomous research system that generates hypotheses, writes code, and runs experiments - no human prompts required.