Published 2026-01-11
Keywords
- Optical communication,
- artificial intelligence,
- intelligent tutoring systems
How to Cite
Copyright (c) 2026 Maxamadov Rustam Xabibullayevich, Djamatov Mustafa Xatamovich

This work is licensed under a Creative Commons Attribution 4.0 International License.
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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