Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...