PhotoFourier: silicon photonics joint transfer correlator for convolution neural network

Nicola Peserico, Shurui Li, Hangbo Yang, Hamed Dalir, Puneet Gupta, Volker J. Sorger · 2023

Convolution Neural Networks are one of the pillars of the Machine Learning revolution over the last years. However, convolution operation is associated with a high computational cost. Here, we present a compact and high-speed solution to perform convolution leveraging optics on a chip, with the potential to reach over 350 TOPS/W.

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