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 ...

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

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 ...

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

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

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 ...

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 ...

Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.

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