Introduction to Photonic Neural Networks

被引：0

作者：

Belkin, M. E. ^{[1
]}

Shabelnik, K. V. ^{[1
]}

机构：

[1] MIREA Russian Technol Univ, Moscow 119454, Russia

来源：

NANOBIOTECHNOLOGY REPORTS | 2024年 / 19卷 / SUPPL1期

关键词：

photonic approach; general principle of construction; modern branches of photonics application; training of neural networks; elements of a photonic neural network; LOGIC GATES;

D O I：

10.1134/S2635167625600129

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

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.

引用

页码：S26 / S31

页数：6

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