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Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space. Traditional methods for ...
Researchers have developed a deep-learning model for predicting the malignancy of high-risk thyroid nodules. The model ...
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Tech Xplore on MSNAI-driven framework creates defect-tolerant metamaterials with complex functionalityMany industrial products—from car bumpers to aerospace panels and medical implants—owe their performance to lightweight, ...
A research team led by the University of California, Berkeley, has developed an innovative AI-powered framework that efficiently designs 3D truss metamaterials — structures known for their exceptional ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...
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