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 ...

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 ...

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

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

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

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

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AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

MOUNTAIN VIEW, Calif., Feb. 05, 2026 (GLOBE NEWSWIRE) -- Aerospike Inc. today announced that it has been named one of three ...