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 ...

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

Claude isn't the most feature-rich AI chatbot, but it performs most tasks reasonably well and benefits from a well-designed ...

Examine the AI and computer science courses offered by Tsinghua University in 2026. Learn why Tsinghua is the top university ...

New research published in Scientific Reports provides evidence that the path from genetic predisposition to general ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language understanding.

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

The radiation environment near Earth remains a challenging topic of study due to its complex dynamics, spanning multiple energy and temporal scales. During ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...