As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

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 ...

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 ...

An Exceptional User Experience and Better Privacy Policy ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

“Every previous AI tool focused on internal development,” said Chief Executive Alex Mashrabov. “We’re solving distribution ...

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

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