Extreme Learning Machine using Highly Nonlinear Fiber
Optical computing inspired by neural network concepts has recently experienced a resurgence of interest, owing to its potential for faster processing speeds and enhanced scalability compared to traditional digital electronic computing platforms with the potential to enable real-time computing at unprecedented bandwidths [1].
Authors
- Daniel Brunner (ORCID: https://orcid.org/0000-0002-4003-3056)
- Mathilde Hary (ORCID: https://orcid.org/0000-0002-5338-113X)
- John M. Dudley (ORCID: https://orcid.org/0000-0001-9520-9699)
- Piotr Ryczkowski (ORCID: https://orcid.org/0000-0002-1837-6132)
- Goëry Genty (ORCID: https://orcid.org/0000-0002-0768-3663)
- Lev Leybov
Institutions
- Centre National de la Recherche Scientifique (FR)
- Tampere University (FI)
- Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies (FR)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110428
- Primary Topic
- Machine Learning and ELM
- Type
- article
- Field-Weighted Citation Impact
- 0.00