Abstract
Photonics neural networks employ optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency, and low-switching energy applications in AI and neuromorphic computing. We discuss silicon photonics for machine learning acceleration for inference and in situ training.
© 2022 The Author(s)
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