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

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

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

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

Traditionally, power converter design for energy storage systems (BESS) normally focuses on conversion efficiency and total ...

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

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

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

Opinion: The Department of Justice's settlement with RealPage argues that the use of algorithmic pricing software itself ...