Vol. 6 No. 01 (2026)
Articles

Technologies Of Artificial Intelligence in Optical Communication

Maxamadov Rustam Xabibullayevich
Independent researcher, senior lecturer, Department of digital technologies and information security, Academy of the ministry of internal affairs of the Republic of Uzbekistan
Djamatov Mustafa Xatamovich
Senior lecturer, Department of digital technologies and information security, Academy of the ministry of internal affairs of the Republic of Uzbekistan

Published 2026-01-11

Keywords

  • Optical communication,
  • artificial intelligence,
  • intelligent tutoring systems

How to Cite

Maxamadov Rustam Xabibullayevich, & Djamatov Mustafa Xatamovich. (2026). Technologies Of Artificial Intelligence in Optical Communication. Stanford Database Library of American Journal of Applied Science and Technology, 6(01), 27–31. Retrieved from https://oscarpubhouse.com/index.php/sdlajast/article/view/1022

Abstract

This article explores the application of artificial intelligence (AI) in optical communication technologies. Optical communication, as a backbone of high-speed data transmission, requires optimization methods to reduce noise, minimize errors, and ensure adaptive control. AI techniques such as deep learning, Bayesian algorithms, and ant colony optimization are widely employed for signal processing and adaptive modulation in optical networks. The research further highlights how AI-based modeling of optical communication processes can be embedded in ITS platforms to provide real-time simulations for learners.

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