Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...

Five scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) have received Early Career Research Program (ECRP) awards from the ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

AI-driven autonomous laboratory that designs, executes, and learns from experiments in closed-loop cycles, accelerating ...

Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often surprisingly inaccurate, with estimated error rates of 30%–80%. The watch's ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

This fall, University of North Texas students will be able to major in something new: artificial intelligence. The UNT Board of Regents approved the AI major on Thursday, which comes as universities ...

Collaboration Brings Together Instrumentation Excellence and 30+ Years of Scientific Informatics, AI/ML, and Digital ...