Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...
Artificial intelligence startup Autoscience Institute has launched with $14 million in seed funding to automate research into ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...
Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their highly specific innovation needs. Scientists have now built a new machine ...
Shell India, in collaboration with Atal Innovation Mission (AIM), NITI Aayog and Learning Links Foundation (LLF), launched ...
Cognitive warfare technologies now model and simulate human behavior at scale, raising concerns about autonomous digital ...
Universal Robots (UR) this week unveiled the UR AI Trainer at GTC 2026. Developed in collaboration with Scale AI, the AI ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
Fed up with the random nature of generative AI? Adobe Firefly’s new Custom Models seek to change that by learning your own ...
Mistral AI launches Forge, an enterprise AI training platform that lets companies build custom models on proprietary data and ...
Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...
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