Researchers at New York University Abu Dhabi (NYUAD) have developed Spheromatrix, a simple and low-cost technology that ...

To survive the bitter cold, Antarctica’s native residents adorn themselves with thick layers of fat and fur. A non-biting ...

An international research team may have found an explanation for seismic anomalies, the noticeable deviations in the behavior ...

With contributions from Brown faculty and students, the LUX-ZEPLIN experiment analyzed the largest dataset ever collected by ...

Penn State researchers created seven new high-entropy oxides by removing oxygen during synthesis, enabling metals that normally destabilize to form rock-salt ceramics. Machine learning helped identify ...

Penn State scientists discovered seven new ceramics by simply removing oxygen—opening a path to materials once beyond reach.

Objectives Pragmatic randomised controlled trials (pRCTs) are essential for determining the real-world safety and effectiveness of healthcare interventions. However, both laypeople and clinicians ...

The conference billed itself as the first to feature all A.I.-generated research. Yuichiro Chino via Getty Images Should scientists use artificial intelligence to help conduct research or write up the ...

Periodic Labs, a new startup by one of OpenAI’s most respected researchers, Liam Fedus, and his former Google Brain colleague, Ekin Dogus Cubuk, came out of stealth last month with an enormous $300 ...

👉 Watch the video of Sarah’s school science experiment above! Hello parents, teachers and students! Today’s experiment is all about potential and kinetic energy. Be sure to check out GMSA@9 on ...

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.

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.