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

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

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 ...

It might start as a joke, a belief, or a rumor. At first, it's easy to dismiss. But then it gains a twist, builds momentum, ...

A tutorial on the Open Systems Interconnection (OSI) networking reference model plus tips on how to memorize the seven layers.

The Network Imperative—by digital platform expert Barry Libert—is a call to action for managers and executives to embrace network-based business models.