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

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...

Exercise dependence behavior among college students is a critical issue in sports psychology that deserve closer examination, and artificial intelligence offer a useful ways to explore its mechanisms ...

1 Medical Research and Educational Institute, Lomonosov Moscow State University, Moscow, Russia 2 V.K. Gusak Institute of Emergency and Reconstructive Surgery, Donetsk, Russia Traditional machine ...

The secretive beer lab inside the headquarters of the world’s biggest brewing company doesn’t often allow visitors. But today AB InBev has something it would like to show off. So David De Schutter, ...