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 ...
Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...
Traditionally, power converter design for energy storage systems (BESS) normally focuses on conversion efficiency and total ...
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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
SHANGHAI, SHANGHAI, CHINA, January 7, 2026 /EINPresswire.com/ -- As global electrification increases, selecting the ...
Nankai’s College of Computer Science has built on that experience to address national strategic issues by developing technologies in image processing and analysis, big data analysis and knowledge ...
Jan. 17, 2026 Scientists are uncovering a hidden and surprisingly complex earthquake zone beneath Northern California by tracking swarms of tiny earthquakes that are far too weak to feel. These faint ...
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