Skip to main navigation Skip to search Skip to main content

Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection

  • Hsuan Tung Peng
  • , Thomas Ferreira de Lima
  • , Eric C. Blow
  • , Simon Bilodeau
  • , Aashu Jha
  • , Chaoran Huang
  • , Bhavin J. Shastri
  • , Paul R. Prucnal

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

Abstract

We experimentally demonstrated real-time operation of a photonic neuron with a self-connection, a pre-requisite for integrated recurrent neural networks (RNNs). After studying two applications we propose a photonics-assisted platform for time series prediction and classification.

Original languageEnglish (US)
Title of host publication2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171050
StatePublished - 2022
Event2022 Conference on Lasers and Electro-Optics, CLEO 2022 - San Jose, United States
Duration: May 15 2022May 20 2022

Publication series

Name2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings

Conference

Conference2022 Conference on Lasers and Electro-Optics, CLEO 2022
Country/TerritoryUnited States
CitySan Jose
Period5/15/225/20/22

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Spectroscopy
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Management, Monitoring, Policy and Law
  • Materials Science (miscellaneous)
  • Acoustics and Ultrasonics
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection'. Together they form a unique fingerprint.

Cite this