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

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 ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Some teachers say school districts should view computer science not simply as a precursor to specific college degrees, but as ...

Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...

The 2-2-2 method was created by Ian K. Smith, MD, author of The Met Flex Diet: Burn Better Fuel, Burn More Fat. It’s a ...

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

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...