Large-Scale Integrated Photonics for Energy-Efficient AI Hardware

Bassem Tossoun, Di Liang, Xian Xiao, Stanley Cheung, Prerana Singaraju, Sudharsanan Srinivasan, Antoine Descos, Yingtao Hu, Jongseo Baek, Yanir London, Yuan Yuan, Yiwei Peng, Thomas Van Vaerenbergh, Geza Kurzveil, Marco Fiorentino, Raymond G. Beausoleil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The convergence of deep learning models and the availability of large datasets has spurred significant interest in developing new hardware that can run AI algorithms more energy-efficiently. At Hewlett Packard Labs, we've developed an energy-efficient silicon photonics platform, a foundational technology for next-generation AI hardware.

Original languageEnglish
Title of host publication2024 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9798350393873
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes
Event2024 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2024 - Bridgetown, Barbados
Duration: 15 Jul 202417 Jul 2024

Publication series

NameLEOS Summer Topical Meeting
ISSN (Print)1099-4742
ISSN (Electronic)2376-8614

Conference

Conference2024 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2024
Country/TerritoryBarbados
CityBridgetown
Period15/07/2417/07/24

Keywords

  • neuromorphic computing
  • photonic computing
  • silicon photonics

ASJC Scopus subject areas

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

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