Author:
Bandyopadhyay Saumil,Sludds Alexander,Krastanov Stefan,Hamerly Ryan,Harris Nicholas,Bunandar Darius,Streshinsky Matthew,Hochberg Michael,Englund Dirk
Abstract
We report an end-to-end photonic deep neural network processor, fabricated in a commercial CMOS process, that integrates optical matrix algebra and nonlinear function units onto a single chip and implements all-optical DNN inference and training.
Cited by
3 articles.
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