Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly ...

As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are ...

Artificial Intelligence (AI) is rapidly transforming pharmaceutical innovation by replacing traditional “wet” laboratory operations with ...

Dynamic AI systems applied in biopharmaceutical manufacturing must be governed within established regulatory frameworks.

This Research Topic is Volume VI of a series. The previous volumes can be found here: Volume I , Volume II , Volume III , Volume IV , and Volume V ...

Finding new drugs, and finding new uses for existing drugs, remains slow, expensive, and associated with a high failure rate. Research now has access to ...

In continuing use of protective orders limiting an opponent’s use of discovery materials in the opponent’s AI system, a ...

Real-time AI-driven quality prediction supports off-spec reduction, faster grade transitions and lower carbon intensity at the Thessaloniki site. Hyperion Systems Engineering Ltd. has successfully ...

Jul 20, 2026-- CuspAI today announced the launch of the AI Materials Foundry, bringing together a global network of data, labs, compute and scientific expertise for the design of new materials, ...

An international research team involving the University of Bayreuth has, for the first time, analyzed the "inner workings" of ...