Instead of having lots of EVs refueling simultaneously, active managed charging distributes the load through the night, ...

In numerous scientific fields, high-throughput experimentation methods combined with artificial intelligence (AI) show great promise to accelerate innovation and scientific discovery.

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Automatic mesh generation, recognized as the "Holy Grail" of Computational Fluid Dynamics (CFD), was highlighted as a critical objective in the NASA ...

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Vanta reports on eight essential AI security best practices for organizations to mitigate risks and ensure safe AI adoption ...

Abstract: To address the real-time transmission challenges of multiple types of data frames in Advanced Driver Assistance Systems, this paper proposes an in-vehicle Ethernet transmission technology ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

The cyclical, now AI-fueled, “SEO is dead” panic cycle is in full swing. But here’s what most of those headlines miss: Search isn’t a platform, it’s a behavior. Whether people are typing into Google ...