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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 tutorial on the Open Systems Interconnection (OSI) networking reference model plus tips on how to memorize the seven layers.
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...
With potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta ...
ith potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has earned two major research awards from Google to support his development of ...
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