Technologies Of Artificial Intelligence in Optical Communication
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.
Fields of Study & Subjects
Optical Network Technologies
Optical Wireless Communication Technologies
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- American Journal Of Applied Science And Technology
- Volume
- 06
- Issue
- 01
- Pages
- 27–31
- Publication date
- 6 January 2026