SOLVING PRACTICAL PROBLEMS OF OPTICAL PHYSICS USING ARTIFICIAL INTELLIGENCE

Abstract

Artificial Intelligence (AI) has become one of the most transformative technologies in modern science and engineering. In the field of optical physics, AI-based methods are increasingly used to solve complex practical problems related to image processing, laser systems, optical signal analysis, spectroscopy, photonics, and optical communication. Traditional computational methods in optical physics often require significant time, mathematical complexity, and computational resources. However, machine learning, deep learning, and neural network algorithms enable faster and more accurate analysis of optical phenomena. This article examines the application of artificial intelligence in solving practical problems of optical physics, including optical image recognition, adaptive optics, laser beam optimization, holography, medical imaging, and optical sensor technologies. The study also discusses the advantages, limitations, and future prospects of AI-driven optical systems in scientific research and industrial applications.