Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Published in Acta Mechanica Sinica, this forward-looking study argues that embedding physical laws into AI models is ...
Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
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