Introduction to Photonic Neural Networks

The work briefly discusses: the development of photonic neural networks for artificial intelligence (AI) and the principles of their construction and stages of development. The types of training of AI neural networks, the advantages of such networks, as well as the scope of their application for creating more efficient AI systems based on the photonic approach are described.

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Publication Details

Journal
Nanobiotechnology Reports
Published
2024-12-01
DOI
https://doi.org/10.1134/s2635167625600129
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Introduction to Photonic Neural Networks

K. V. Shabelnik, Mikhail Belkin
Nanobiotechnology Reports
Neural Networks and Reservoir Computing
article

Introduction to Photonic Neural Networks

K. V. Shabelnik, Mikhail Belkin
article en

Abstract

The work briefly discusses: the development of photonic neural networks for artificial intelligence (AI) and the principles of their construction and stages of development. The types of training of AI neural networks, the advantages of such networks, as well as the scope of their application for creating more efficient AI systems based on the photonic approach are described.

Nanobiotechnology ReportsVol. 19(S1)
MIREA - Russian Technological University (RU)
Openalex Percentile: Top 74%
Neural Networks and Reservoir Computing
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Introduction to Photonic Neural Networks — K. V. Shabelnik, Mikhail Belkin · Nanobiotechnology Reports (2024) | TGRS Research Map | TGRS