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 ...

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their ...

A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...