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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 ...
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Tech Xplore on MSNDigital to analog in one smooth step: Device could replace signal modulators in fiber-optic networks
Addressing a major roadblock in next-generation photonic computing and signal processing systems, researchers at the Harvard ...
With potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta ...
Computer and network security are too often couched in terms of passwords and encryption–the computer equivalent of "lock and key" safekeeping for physical assets. Even though the sophistication of ...
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