More frequent and intense weather phenomena like heat waves, windstorms, or atmospheric rivers often come in pairs and these ...
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...
1don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
AI is driving unprecedented investment for massive data centers and an energy supply that can support its huge computational ...
A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
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