Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Science laboratories across disciplines--chemistry, biochemistry and materials science--are on the verge of a sweeping transformation as robotic automation and AI lead to faster and more precise ...

A couple of weeks ago, I wrote in this newsletter about my visit to Figure AI, a California startup that has developed a humanoid robot. Billions of dollars are currently pouring into the robotics ...

Automation of life-science experiments has been performed using large, multifunctional robots, and equipment, however, difficulties arise in their installation and expansion. In this study, ...

Genova (Italy), 18 November 2024 - In a review paper published recently in Science Robotics a cognitive roboticist, cognitive psychologist and a psychiatrist discuss the concept of “sense of self” in ...

The race to create AI-powered humanoid robots continues to accelerate as major tech and consumer companies eye investments and partnerships that create business uses that could scale. Manufacturing, ...

Photo illustration shows a robot used in the study and examples of comments and responses it gave to test subjects during the experiment. Disclaimer: AAAS and EurekAlert! are not responsible for the ...

Welcome back to In the Loop, TIME’s new twice-weekly newsletter about AI. If you're reading this in your browser, why not subscribe to have the next one delivered straight to your inbox? A couple of ...