Innovation science and technologiy Volume 2 Issue 3 (2026)
TECHNOLOGIES OF ARTIFICIAL INTELLIGENCE IN OPTICAL COMMUNICATION AND THEIR INTEGRATION INTO INTELLIGENT TUTORING SYSTEMS
Maxamadov, Rustam, Djamatov, Mustafa
Abstract
This article explores the application of artificial intelligence (AI) in optical communication technologies and itsintegration into intelligent tutoring systems (ITS). 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 asdeep learning, Bayesian algorithms, and ant colony optimization are widely employed for signal processing and adaptivemodulation in optical networks. The research further highlights how AI-based modeling of optical communication processescan be embedded in ITS platforms to provide real-time simulations for learners. This integration enhances practical skills,supports adaptive learning strategies, and improves the quality of education in engineering and military higher educationinstitutions. The study demonstrates that such an approach increases students’ comprehension efficiency by 30% anddecreases communication error modeling by up to 25%.
optical communication, artificial intelligence, intelligent tutoring systems, adaptive learning, signal processing
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