AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

1X is a leading U.S. based AI and robotics company, developing NEO-the home robot. 1X’s mission is to create an abundant ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...