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.

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 ...

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

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 ...

The partnership between BST and S-VYASA University offers a four-year B.Tech in Computer Science & AI, emphasizing modern ...

Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...