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Analytical review of proceedings of IITI’22 conference

https://doi.org/10.46973/0201-727X_2023_1_159

Abstract

The paper provides a brief review of the proceeding analysis presented at the IITI’22 conference, and considers the main areas of both theoretical and applied research in the field of modern artificial intelligence (AI). Traditionally, the main emphasis in most of the materials accepted for publication was on the use of modern information and intellectual technologies in technology. Four main areas presented at the IITI'21 conference were identified: applied intelligent systems, machine learning, and intellectualization of production processes, fuzzy and non-traditional logics. For each of the areas, an analysis of the most interesting reports was made to popularize the results of research in the field of applied artificial intelligence among the Russian-speaking audience.

As part of the conference, a round table was organized, which also discussed the problems of using AI in medicine, business and education. The best works were also included in the proceedings of the conference "Proceedings of the Sixth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'22)".

About the Authors

S. M. Kovalev
Rostov State Transport University (RSTU); JSC «NIIAS» Rostov Branch
Russian Federation

Kovalev Sergey Mikhaylovich, Chair «Automatics and Remote Control on Railway Transport», Professor; Chief Scientific Researcher, Doctor of Engineering Sciences, Professor 



A. N. Guda
Rostov State Transport University (RSTU)
Russian Federation

Guda Alexander Nikolayevich, Chair «Informatics», Doctor of Engineering Sciences, Professor, Head of the Chair, Vice Rector for Scientific Research 



A. I. Dolgiy
JSC «NIIAS»
Russian Federation

Dolgiy Alexander Igorevich, Candidate of Engineering Sciences, Associate Professor, General Manager 



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Review

For citations:


Kovalev S.M., Guda A.N., Dolgiy A.I. Analytical review of proceedings of IITI’22 conference. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2023;(1):159-174. (In Russ.) https://doi.org/10.46973/0201-727X_2023_1_159

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ISSN 0201-727X (Print)