Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

The original version of this story appeared in Quanta Magazine. A team of computer scientists has created a nimbler, more flexible type of machine learning model. The trick: It must periodically ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at MIT have developed a ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

Exploring Deceptive Behaviors in Modern AI Systems As artificial intelligence continues to permeate every corner of our lives, from customer ...