Silicon photonic filter-based dot product engine for convolutional neural networks

We present a silicon photonic filter-based a nalog e ngine f or computing dot products in convolutional neural networks. It shows a greater energy efficiency compared to electronic solutions with a limited bit resolution degradation of input signals.