Digital Optical Neural Networks for Large-Scale Machine Learning
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CLEO_2020_abstract.pdf
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941.79 KB
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Author(s)
Bernstein, Liane
Sludds, Alexander
Hamerly, Ryan M
Sze, Vivienne
Emer, Joel S
Englund, Dirk R.
Date Issued
May 2020
Journal
Conference on Lasers and Electro-Optics
Publisher
Optical Society of America (OSA)
Citation
Bernstein, Liane et al. "Digital Optical Neural Networks for Large-Scale Machine Learning." Conference on Lasers and Electro-Optics, May 2020, Washington, D. C., Optical Society of America, May 2020. © 2020 The Author(s)
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1364/cleo_si.2020.sm1e.4
