Introduction to Photonic Neural Networks

IF 0.8 Q3 Engineering

Nanotechnologies in Russia Pub Date : 2025-03-24 DOI:10.1134/S2635167625600129

M. E. Belkin, K. V. Shabelnik

引用次数: 0

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.

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来源期刊

Nanotechnologies in Russia NANOSCIENCE & NANOTECHNOLOGY-

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Nanobiotechnology Reports publishes interdisciplinary research articles on fundamental aspects of the structure and properties of nanoscale objects and nanomaterials, polymeric and bioorganic molecules, and supramolecular and biohybrid complexes, as well as articles that discuss technologies for their preparation and processing, and practical implementation of products, devices, and nature-like systems based on them. The journal publishes original articles and reviews that meet the highest scientific quality standards in the following areas of science and technology studies: self-organizing structures and nanoassemblies; nanostructures, including nanotubes; functional and structural nanomaterials; polymeric, bioorganic, and hybrid nanomaterials; devices and products based on nanomaterials and nanotechnology; nanobiology and genetics, and omics technologies; nanobiomedicine and nanopharmaceutics; nanoelectronics and neuromorphic computing systems; neurocognitive systems and technologies; nanophotonics; natural science methods in a study of cultural heritage items; metrology, standardization, and monitoring in nanotechnology.