An on-chip photonic deep neural network for image classification

(Source: Tima Miroshnichenko)   Researchers at the University of Pennsylvania have developed an optical chip that can process almost 1.7 billion images per second. It uses a neural network that processes visual information directly without memory read/writes. Despite advances in photonic computation, the lack of scalable on-chip optical non-linearity and the loss of photonic devices limit the scalability of optical ...

Jon Peddie

This content is restricted

Get Access

TechWatch is the front line of JPR information gathering service, comprising current stories of interest to the graphics industry spanning the core areas of graphics hardware and software, workstations, gaming, and design.

A subscription to TechWatch includes 4 hours of consulting time to be used over the course of the subscription.