Silicon Photonics for Artificial Intelligence and Neuromorphic Computing

Bhavin J. Shastri, Thomas Ferreira De Lima, Chaoran Huang, Bicky A. Marquez, Sudip Shekhar, Lukas Chrostowski, Paul R. Prucnal

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

Abstract

Artificial intelligence and neuromorphic computing driven by neural networks has enabled many applications. Software implementations of neural networks on electronic platforms are limited in speed and energy efficiency. Neuromorphic photonics aims to build processors in which optical hardware mimic neural networks in the brain.

Original languageEnglish (US)
Title of host publication2021 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665416009
DOIs
StatePublished - 2021
Event2021 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2021 - Virtual, Online, Mexico
Duration: Jul 19 2021Jul 21 2021

Publication series

NameLEOS Summer Topical Meeting
Volume2021-July
ISSN (Print)1099-4742

Conference

Conference2021 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2021
Country/TerritoryMexico
CityVirtual, Online
Period7/19/217/21/21

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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