MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Students walking out of class to protest against ICE, including in Redlands, face potential punishment -- and much more in ...

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer's brain in an ...

A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...

Researchers combined hyperspectral Raman imaging with machine learning to chart Alzheimer’s-related chemistry across entire ...

By Dr. Liji Thomas, MD A new randomized trial shows that short bursts of supervised high-intensity exercise may retrain the brain’s fear response to bodily sensations, offering a scalable and engaging ...

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer’s brain in an ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...

All three of these electric cars have ‘performance’ in their names and pack a ...