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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

Photonics for AI and AI for photonics integration : Materials and characteristics

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pp. 805–816Vol. 45Issue 3April 2024DOI: 10.47974/JIOS-1579XML
Received:
10 May 2021
Accepted:
17 Aug 2021
Published Online:
27 Apr 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1579
Pages:
805–816

Abstract

Photonics and artificial intelligence (AI) are two rapidly advancing fields that have the potential to revolutionize various technological domains. This paper explores the convergence of photonics and AI, focusing on the integration of photonics for AI applications and the utilization of AI techniques for advancing photonics technology. Paper explores the materials used in photonics for AI systems, highlighting their unique characteristics and advantages. Additionally, examine how AI methodologies such as machine learning and neural networks are applied in optimizing photonics systems, enhancing their sensitivity performance and enabling novel functionalities. Through this exploration, results obtained provide sensitivity analysis and refractive index calculation of twin core photonic crystal fiber (PCF). The synergistic relationship between photonics and AI and its potential implications for advancing information and optimization sciences is also presented.

Keywords

Subject Classifications

78A1078A7092C47

References

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