X released a new world model that it says is a solid step toward its robots being able to teach themselves new tasks.

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

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

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 ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve.

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

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 ...

An analysis of LinkedIn job postings reveals the highest-paying AI jobs in the U.S. The data shows how responsibility and ...

X Square Robot has raised $140 million to build the WALL-A model for general-purpose robots just four months after raising ...

Gaining regulatory approval for drugs targeting conditions that cannot ethically be studied in humans presents a unique ...