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.

China's Shenzhou-19 to conduct 86 space experiments Bricks from simulated lunar soil to be tested in space China aims for manned moon landing by 2030 JIUQUAN, China, Oct 30 (Reuters) - China sent ...

Finding a needle in a haystack is the quintessentially impossible task. But what if new tools could make it straightforwardly achievable? Imagine if, instead of searching through everything by hand, ...

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 ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Science has always been a human endeavor, fueled by curiosity, ...

An ambitious start-up embodies new optimism that artificial intelligence can turbocharge scientific discovery. An ambitious start-up embodies new optimism that artificial intelligence can turbocharge ...

Rock-and-roll puns aside, ELVIS is leaving the building — and Earth's surface — to collect data for “suspicious minds” who wonder if microbial life could exist in subsurface oceans of icy moons like ...

JIUQUAN, China (Reuters) - China sent three astronauts on Wednesday to its permanently inhabited space station, where they will conduct dozens of scientific experiments, some related to the ...

Sara Giordano does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Science has saved lives, lengthened lifespans, and helped humanity understand itself. But the record is not clean. Some experiments crossed ethical lines, treating people as disposable data and ...