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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

Technologies Of Artificial Intelligence in Optical Communication

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
Optical communication artificial intelligence intelligent tutoring systems

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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