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.

A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT ...

Nuclear fusion promises a green and infinitely renewable supply of energy—if we can harness it. Fusion happens all the time ...

The future of computing lies in the surprising world of quantum physics, where the rules are much different from the ones ...

Foteini Agrafioti spent the late 2000s collecting and analyzing heartbeat signals for her PhD project. Working from the ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so large they’re impossible to write out using standard mathematical notation.

A new boron-rich compound, manganese diboride, delivers much higher energy density than current solid-rocket materials while remaining stable until intentionally ignited. Its power comes from an ...

The musician and record producer Brian Eno delves into his experiments with ambient music, his thoughts on generative A.I.