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

A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...

By confronting both transformative opportunities and inherent risks with clarity, we can guide this evolution toward outcomes that enhance rather than diminish our shared future. The momentum is ...

Experts share step-by-step instructions for how to clean a washing machine (both inside and out)—plus how often you should do ...