Silicon photonics for AI hardware

B. J. Shastri, B. A. Marquez, M. Filipovich, Z. Guo, E. R. Howard, H. Morison, A. N. Tait, T. Ferreira de Lima, C. Huang, P. R. Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neuromorphic photonic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We will provide an overview of silicon photonic systems for deep learning inference and in situ training.

Original languageEnglish (US)
Title of host publicationIntegrated Photonics Research Silicon and Nanophotonics, IPRSN 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580798
StatePublished - 2020
EventIntegrated Photonics Research Silicon and Nanophotonics, IPRSN 2020 - Washington, United States
Duration: Jul 13 2020Jul 16 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F184-IPRSN 2020
ISSN (Electronic)2162-2701

Conference

ConferenceIntegrated Photonics Research Silicon and Nanophotonics, IPRSN 2020
Country/TerritoryUnited States
CityWashington
Period7/13/207/16/20

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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