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Energy-Efficient Photonic Spiking Neural Network on a monolithic silicon CMOS photonic platform

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Abstract

We designed, simulated, and taped-out a photonic spiking neural network on a monolithic silicon CMOS photonic platform. Benchmarking shows proposed PSNN outperforms other neuromorphic hardware with 21.09fJ/spike and 61.4 W average power at MNIST experiment.

© 2021 The Author(s)

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