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Features of the implementation of artificial intelligence and digital technologies in industrial production: promising directions and modern trends in automation
Author(s) -
V. N. Malikov,
L V Kunigina,
V. D. Munister,
A. L. Zolkin,
V R Varshavskij
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1889/2/022012
Subject(s) - executor , automation , computer science , implementation , production (economics) , industrial internet , the internet , manufacturing engineering , systems engineering , industrial engineering , artificial intelligence , software engineering , data science , computer security , engineering , internet of things , world wide web , mechanical engineering , political science , law , economics , macroeconomics
The article discusses the problems of optimizing the work of modern industrial production, promising areas of automation, the industrial Internet of things. The author’s principle of optimizing the operation of automated systems through a number of promising technologies is described: a model of an improved abstract executor and distributed computing, modern machine learning tools. The application of information security methods in ensuring the search for the optimal connection between objects and subjects of an automated control system is given. The economic and technological significance and role of the potential described and considered implementations are formalized.

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