RMIT University
Browse

Laser printing of a nano-imager to perform full optical machine learning

conference contribution
posted on 2024-11-03, 13:53 authored by Elena Goi, Min GuMin Gu
Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning [1], are transforming several fields ranging from clinical medicine to optical computing. Integrating full-optical neuromorphic architectures in opto-electronic devices (Fig. 1a) will lead to the near-term availability of clinically and industrially relevant applications such as real-time features detection and classification, image processing and optical implementation of computational intensive tasks such as matrix multiplication with low-power consumption, high-accuracy and ultra-fast processing speed [2].

History

Number

8872773

Start page

1

End page

1

Total pages

1

Outlet

Proceedings of the 16th Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference (CLEO/Europe-EQEC 2019)

Name of conference

CLEO/Europe-EQEC 2019

Publisher

IEEE

Place published

United States

Start date

2019-06-23

End date

2019-06-27

Language

English

Copyright

© 2019 IEEE.

Former Identifier

2006106456

Esploro creation date

2022-11-26

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC