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Multisynapse optical network outperforms digital AI models
A new way to think about neural networks Traditional photonic neural networks are trained digitally—on a computer—before being transferred to physical devices.
Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...
ith potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has ...
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