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Online image recognition with ultrafast spiking microlaser neurons

  • Centre de Nanosciences et de Nanotechnologies

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

Abstract

Photonic artificial neural networks (ANN) offer a great potential for efficient image recognition, thanks to the possibility of integration, low energy dissipation, ultra-fast response times, and availability of a wealth of nonlinear optical responses [1]. We consider an ANN architecture consisting of photonic nodes implemented with semiconductor-based micropillar lasers with integrated saturable absorber which exhibit fundamental properties of biological neurons, such as excitability, refractory periods and temporal summation [2]. These nodes operate six orders of magnitude faster as compared to biological neurons. This unique property makes them particularly well-suited for applications where speed is a crucial requirement.

Original languageEnglish
Title of host publication2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350345995
DOIs
Publication statusPublished - 1 Jan 2023
Externally publishedYes
Event2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023 - Munich, Germany
Duration: 26 Jun 202330 Jun 2023

Publication series

Name2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

Conference

Conference2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023
Country/TerritoryGermany
CityMunich
Period26/06/2330/06/23

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