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DOI: 10.15862/13ECOR424 (https://doi.org/10.15862/13ECOR424)

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Goncharov A.V. The role of artificial intelligence in the modern development of industrial automation. Russian journal of resources, conservation and recycling. 2024; 11(4). Available at: https://resources.today/PDF/13ECOR424.pdf (in Russian). DOI: 10.15862/13ECOR424

The role of artificial intelligence in the modern development of industrial automation

Goncharov Andrey Vitalievich
Moscow State University of Technology and Management named after K.G. Razumovsky (First Cossack University),
Moscow, Russia
E-mail: a.goncharov@mgutm.ru

Abstract. Scientific and technological progress has dramatically changed the structure of society, especially in the field of employment. The increasing complexity of economic systems has led to an increase in the number of specialists in management and information technology, while jobs in the manufacturing sector are declining. Modern society has entered the era of the fourth industrial revolution, which has already begun to automate production processes, which, in turn, contributes to the growth of labor productivity and competitiveness of countries. The fourth industrial revolution, known as Industry 4.0, promises complete automation and integration of all physical assets into a single digital ecosystem. This concept covers many technologies, including the Internet of Things, artificial intelligence, and big data analytics. The innovations emerging from this revolution will not only change the industrial landscape, but also create new opportunities for collaboration in the global economy. Artificial intelligence, first identified by John McCarthy in 1956, is a field of computer science that deals with the creation of systems that can imitate human cognitive functions. Despite the lack of a single definition, AI covers many areas, including neurocybernetics and black-box cybernetics. These approaches help create systems that can process data and make decisions similar to the human mind. Key areas of research include the development of natural language interfaces, pattern recognition, and the creation of intelligent robots. Deep learning, implemented using neural networks, opens up new horizons in data analysis and optimization of production processes. However, despite all the achievements, AI technologies face limitations, such as the need for large volumes of data for training. The introduction of AI into production processes may lead to job losses, raising concerns about the future of human labor in the context of automation.

Keywords: digitalization; automation; neural networks; machine learning; production processes; artificial intelligence; fourth industrial revolution; scientific and technological progress; robotics; information technology

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