Silicon Photonics for Machine Learning: Training and Inference

B. J. Shastri, M. J. Filipovich, Z. Guo, P. R. Prucnal, C. Huang, A. N. Tait, S. Shekhar, V. J. Sorger

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

Abstract

Photonics neural networks employ optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency, and low-switching energy applications in AI and neuromorphic computing. We discuss silicon photonics for machine learning acceleration for inference and in situ training.

Original languageAmerican English
Title of host publication2022 European Conference on Optical Communication, ECOC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171159
StatePublished - 2022
Event2022 European Conference on Optical Communication, ECOC 2022 - Basel, Switzerland
Duration: Sep 18 2022Sep 22 2022

Publication series

Name2022 European Conference on Optical Communication, ECOC 2022

Conference

Conference2022 European Conference on Optical Communication, ECOC 2022
Country/TerritorySwitzerland
CityBasel
Period9/18/229/22/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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