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Convolution Neural Networks are one of the most used networks for Machine Learning. But convolution operation is one of the most demanding operations for electronic units to perform. Here, we present the first integrated PhotoFourier chip, capable of performing Joint Correlation Transformation on a Silicon Photonic chip, reducing the computation complexity from O(N^2) to O(N) at GHz speed rate.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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