Digital Optical Neural Networks for Large-Scale Machine Learning

Liane Bernstein; Alexander Sludds; Ryan Hamerly; Vivienne Sze; Joel Emer; Joel Emer; Dirk Englund

doi:10.1364/CLEO_SI.2020.SM1E.4

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2020),
paper SM1E.4
•https://doi.org/10.1364/CLEO_SI.2020.SM1E.4

Digital Optical Neural Networks for Large-Scale Machine Learning

Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel Emer, and Dirk Englund

CLEO: Science and Innovations 2020

Washington, DC United States
10–15 May 2020
ISBN: 978-1-943580-76-7

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Integrated Photonics for Neural Networks and Deep Learning (SM1E)

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L. Bernstein, A. Sludds, R. Hamerly, V. Sze, J. Emer, and D. Englund, "Digital Optical Neural Networks for Large-Scale Machine Learning," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optica Publishing Group, 2020), paper SM1E.4.

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Abstract

We propose a digital incoherent optical neural network architecture using the passive data routing and copying capabilities of optics for artificial neural network acceleration. We demonstrate a proof-of-concept experiment and analyze optimal use cases.

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