Automation of technological processes based on artificial intelligence: new approaches and innovative solutions

Abstract

This article analyzes modern approaches to the application of artificial intelligence (AI) technologies in the automation of technological processes in industry and manufacturing. The role and advantages of machine learning methods, neural networks, expert systems, and digital twin technologies in automation systems are examined. In addition, the potential for improving efficiency, saving resources, and reducing the impact of the human factor through the implementation of AI-based control systems is discussed. The article is intended for researchers and specialists working in the fields of industrial automation and intelligent control systems.