A new way to think about neural networks Traditional photonic neural networks are trained digitally—on a computer—before being transferred to physical devices.

ith potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has ...

Addressing a major roadblock in next-generation photonic computing and signal processing systems, researchers at the Harvard ...

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 ...

Army hopes digital models in contracts can help industry deliver faster and better The service is also planning to test generative AI.