Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its potential as a reliable tool for public health monitoring. In contrast to ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

A major scientific advance in protein modeling, developed by Microsoft Research AI for Science, has been published in the July 10 issue of Science.

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug discovery.

In the evolving landscape of healthcare, the demand for practitioners who can think critically, treat holistically, and adapt ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...