most citedArtificial Neural Networks for Photonic Applications: From Algorithms to Implementation

82 citations · 82 across the 2 of their papers we have counts for

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2 papers

cs.LG2024★ 82 cited

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation

Pedro Freire, Egor Manuylovich, Jaroslaw E. Prilepsky +1

This tutorial-review on applications of artificial neural networks in photonics targets a broad audience, ranging from optical research and engineering communities to computer scie…

physics.app-ph2024

SOA-based reservoir computing using up-sampling

E. Manuylovich, A. E. Bednyakova, D. A. Ivoilov +2

We introduce a new approach to reservoir computing based on up-sampling and modulation, utilizing semiconductor optical amplifier and photodetector as nonlinear elements without co…