Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Abstract: Federated learning (FL) introduces new perspectives in machine learning (ML) by enabling model training across decentralized devices. The research on data security and privacy in federated ...
Abstract: Skin cancer remains one of the most prevalent and life-threatening diseases globally, where early and accurate diagnosis is crucial for effective treatment and improved patient outcomes.
Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...
Avangrid has completed a pilot project aimed at improving how and where it invests in battery energy storage systems (BESS) across U.S. power markets. Working with energy analytics firm Tyba, the ...
Sitting in front of multiple choice bubbles and essay prompts, my leg starts shaking uncontrollably and my breath comes short. Surrounded equally by brilliance and expectation, I cannot decide if I ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
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