Tud3.3-neuromorphic photonic processor applications (invited)

Bhavin Shastri, Alexander Tait, Mitchell Nahmias, Thomas Ferreira De Lima, Hsuan Tung Peng, Paul Prucnal

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

Abstract

Reconfigurable photonic processors promise orders of magnitude improvements in both speed and energy efficiency over digital electronics for applications in neuromorphic computing and machine learning. We will provide an overview of neuromorphic photonic systems and their application to optimization and machine learning problems.

Original languageEnglish (US)
Title of host publicationIEEE Photonics Society Summer Topical Meeting Series 2019, SUM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728105970
DOIs
StatePublished - Jul 2019
Event2019 IEEE Photonics Society Summer Topical Meeting Series, SUM 2019 - Fort Lauderdale, United States
Duration: Jul 8 2019Jul 10 2019

Publication series

NameIEEE Photonics Society Summer Topical Meeting Series 2019, SUM 2019

Conference

Conference2019 IEEE Photonics Society Summer Topical Meeting Series, SUM 2019
CountryUnited States
CityFort Lauderdale
Period7/8/197/10/19

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Tud3.3-neuromorphic photonic processor applications (invited)'. Together they form a unique fingerprint.

Cite this