Neuromorphic Photonics for Intelligent Signal Processing

Chaoran Huang, Thomas Ferreira De Lima, Alexander N. Tait, Bicky A. Marquez, Bhavin J. Shastri, Paul R. Prucnal

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

1 Scopus citations

Abstract

Neuromorphic photonic processors create a radically new hardware platform for intelligent signal processing by offering sub-nanosecond latency and high bandwidth with low energy. Here, we discuss the current development of neuromorphic photonics and its applications in real-time processing of multichannel, ultrafast signals.

Original languageEnglish (US)
Title of host publication2021 IEEE Photonics Conference, IPC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665416016
DOIs
StatePublished - 2021
Event2021 IEEE Photonics Conference, IPC 2021 - Virtual, Online, Canada
Duration: Oct 18 2021Oct 21 2021

Publication series

Name2021 IEEE Photonics Conference, IPC 2021 - Proceedings

Conference

Conference2021 IEEE Photonics Conference, IPC 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/18/2110/21/21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Artificial Intelligence
  • Computer Networks and Communications

Keywords

  • machine learning
  • neuromorphic computing
  • signal processing
  • silicon photonics

Fingerprint

Dive into the research topics of 'Neuromorphic Photonics for Intelligent Signal Processing'. Together they form a unique fingerprint.

Cite this