Accelerating Convolutional Processing by Harnessing Channel Shifts in Arrayed Waveguide Gratings
Dan Yi,
Caiyue Zhao,
Zunyue Zhang
et al.
Abstract:Convolutional neural networks are a powerful category of artificial neural networks that can extract features from raw data to provide greatly reduced parametric complexity and enhance pattern recognition and the accuracy of prediction. Optical neural networks offer the promise of dramatically accelerating computing speed while maintaining low power consumption even when using high‐speed data streams running at hundreds of gigabit/s. Here, we propose an optical convolutional processor (CP) that leverages the s… Show more
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