ARTIFICIAL INTELLIGENCE IN THE ENGINEERING INDUSTRY: CURRENT TRENDS AND PROSPECTS

Abstract

The article presents a comprehensive analysis of current trends and prospects for the application of artificial
intelligence in industrial mechanical engineering. The key areas of artificial intelligence integration are considered, such as
optimization of production processes through machine learning and deep learning, forecasting equipment failures using big
data analysis and artificial intelligence algorithms, development of new materials through modeling and simulations based on
artificial intelligence, as well as design automation using generative models and computer-aided design (CAD) systems with
integrated artificial intelligence. The advantages and disadvantages of implementing artificial intelligence are explored,
including increasing production efficiency, reducing costs, improving product quality, reducing development time, and
increasing occupational safety, as well as challenges associated with the high cost of implementation, the need for staff training,
and the risk of job losses. Particular attention is paid to the prospects for the development of artificial intelligence in the industry,
including the creation of fully automated production lines, the development of self-learning production management systems,
the creation of intelligent robots, and the development of new materials using artificial intelligence. The article also considers
the ethical and social aspects of the implementation of artificial intelligence, such as the impact on the labor market and the
need to develop appropriate regulations. The article examines the application of artificial intelligence in industrial mechanical
engineering. The main areas of use are analyzed, such as design, optimization, production process control, diagnostics and
forecasting of equipment condition. The advantages and challenges of implementation in mechanical engineering enterprises,
as well as the prospects for further development of this technology in the industry, are considered.