Abstract
Purpose: The purpose of the work is to determine and evaluate the main trends of development of technologies of AI in the national economy. Technologies of AI are used by a lot of countries in all spheres of public life; a lot of money is invested into research and development of new technologies; new normative documents and standards of implementation of IT into everyday life are adopted. Application of intellectual technologies changes the environment and transforms the traditional ideas of usual processes, but their implementation is still chaotic. The obtained results and effects of the work of AI are not systemic – however, they do influence the economic growth in certain spheres and corporations, which proves their high potential and hidden opportunities. That’s why the authors aim at solving the following tasks: performing an overview of the main achievements in the sphere of AI, evaluating the volumes of investments of various governments into scientific research on search for new intellectual solutions, providing examples of the most progressive intellectual technologies that are applied by various corporations around the world, considering the sub-complexes of AI, and systematizing the most perspective trends of development of AI for 10 years.
Studying the accumulated experience of development and implementation of “smart” technologies will allow determining the most successful and popular technologies in the modern society.
Methodology: The authors use the methods of normative & legal analysis and evaluation of the modern situation in the sphere of state management of the national economic system, content analysis, statistical analysis, formalization, and analogy.
Results: AI allows solving a lot of tasks, which the humankind was facing in the course of several centuries. The main problem consists in adequate application of new achievements of science and technology in the practical life of society. The results of implementation of certain intellectual solutions into various spheres of economy and public life already showed large positive results (growth of effectiveness, growth of speed, automatic processing new knowledge, etc.), which confirms large perspectives and potential of AI. The authors study the main components of AI (machine learning and deep learning) and determine the future trends of search and development of intellectual technologies.
Conclusions: The specifics of this work consist in systematization and complex substantiation of the main trends of development of AI in the world market. The performed overview allows for evaluation of the scales of current transformations in the global economy and determining the most breakthrough directions of future scientific research in the sphere of AI.
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References
Bogoviz, A.V., Lobova, S.V., Ragulina, Y.V., Luchitskaya, L.B., Shutova, T.V.: Boosting innovative activity in companies: problems and potential. J. Appl. Econ. Sci. 12(6), 1690–1701 (2017)
Brink, H., Richards, D., Feverolf, M.: Machine Learning. Programmer’s Library, 336 s Ill (2017)
Brockman, D.: What We Think About Cars That Think: World Leading Scientists About Artificial Intelligence, 552 p. Alpina Non-Fiction, Paris (2017)
Dudin, M.N., Lyasnikov, N.V., Reshetov, KYu., Smirnova, O.O., Vysotskaya, N.V.: Economic profit as indicator of food retailing enterprises performance. Eur. Res. Stud. J. 21(1), 468–479 (2018)
Gordin, M.D.: Scientific Babel: The Language of Science from the Fall of Latin to the Rise of English. Profile Books, London (2015). ISBN 978-1-781-25114-0
Fedotova, G.V., Ilyasov, R.K., Kovalenko, O.A., Tkachenko, D.D., Malyutina, T.D.: Imperatives of forecasting of socio-economic development of russian economy. In: Popkova, E.G. (ed.) The Future of the Global Financial System: Downfall or Harmony: Materials of Conference, Limassol, Cyprus, 13–14 April 2018. LNCS, vol. 57, pp. 908–921. Springer, Cham (2019)
Kayl, I.I., Epinina, V.S., Bakhracheva, Y.S., Velikanov, V.V., Korobova, S.I.: Effectiveness and efficiency of public management of socio-economic processes at the city level. In: Overcoming Uncertainty of Institutional Environment as a Tool of Global Crisis Management, pp. 185–190 (2017)
Kharitonenkov, A.S.: The evolution of the administrative-legal mechanism of management of national projects and state programs. State administration (26) (2011)
Korolev, L.N.: Evolutional computations, neuronet, genetic algorithms – formal statements. J. Math. Sci. 168(1), 80–88 (2010)
Mizyun, V.A.: Intellectual enterprise management. Publishing House of the St. Petersburg Academy of Management and Economics, St. Petersburg (2008)
Newell, A., Show, J.S., Simon, H.: Modeling human thinking with the help of an electronic computing machine. In: Gippenreyter, Y.B., et al. Psychology of thinking, pp. 133–134. AST, Astrel (2008)
Presnyakova, A.D. Modern project management. Modern scientific research and innovation (6) (2016)
Marsden, T., Sonnino, R.: Rural development and the regional state: denying multifunctional agriculture in the UK. J. Rural Stud. 24(4), 422–431 (2008)
Cheyns, E., Daviron, B., Djama, M., Fouilleux, E., Guéneau, S.: The Standardization of Sustainable Development Through the Insertion of Agricultural Global Value Chains into International Markets. Sustainable Development and Tropical Agri-Chains, pp. 283–303. Springer, Dordrecht (2017)
Giannakis, E., Bruggeman, A.: The highly variable economic performance of European agriculture. Land Use Policy 45, 26–35 (2015)
Plotnikov, V., Fedotova, G.V., Popkova, E.G., Kastyrina, A.A.: Harmonization of strategic planning indicators of territories’ socioeconomic growth. Regional Sectoral Econ. Stud. 15-2(July-December), 105–114 (2015)
Vertakova, Y., Plotnikov, V., Fedotova, G.: The system of indicators for indicative management of a region and its clusters. Procedia Econ. Finance 39, 184–191 (2016)
Vizilter, Yu.V., Zheltov, S.Yu., Bondarenko, A.V., Osokov, M.V., Morzhin, A.V.: Image Processing and Analysis in Machine Vision Problems: Course of Lectures and Practical Exercises, 672 p. Fizmatkniga, Moscow (2010)
Sekerin, V.D., Burlakov, V.V., Gorokhova, A.E., Dzurdzya, O.A.: Innovations’ latency sources. Revista Espacios 38(62), 26 (2017a)
Sekerin, V.D., Burlakov, V.V., Bank, V.S., Gorokhova, A.E.: Latency of innovations as economic category of innovative process. Revista Espacios 38(33), 22 (2017b)
Forsyth, D., Pons, J.: Computer Vision: The Modern Approach, p. 928s. Williams Publishing House, Chicago (2004)
Kovazhenkov, M.A., Fedotova, G.V., Kulikova, N.N., Sultanova, M.K., Mandrik, N.V.: Search for new economic solutions of the problem of food security. In: Popkova, E.G., (ed.) Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT. Studies in Computational Intelligence, vol. 826, pp. 1011–1022. Springer, Cham (2019a)
Shapiro, L., Stockman, J.: Computer Vision, p. 752. Laboratory knowledge, Moscow (2006)
Kovazhenkov, M.A., Fedotova, G.V., Kurbanov, T.K., Uchurova, E.O., Tserenova, B.I.: Verification of State Programs of Geographically-Distributed Economic Systems. In: Popkova, E.G. (ed.) The Future of the Global Financial System: Downfall or Harmony: Materials of Conference, Limassol, Cyprus, 13–14 April 2018. LNNS, vol. 57, pp. 1043–1053. Springer, Cham (2019b)
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The reported study was funded by RFBR according to the research project No. 18-010-00103 A.
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Burlakov, V.V., Dzyurdzya, O.A., Fedotova, G.V., Alieva, A.H., Kravchenko, E.N. (2020). The Modern Trends of Development of AI Technologies. In: Popkova, E., Sergi, B. (eds) Artificial Intelligence: Anthropogenic Nature vs. Social Origin. ISC Conference - Volgograd 2020. Advances in Intelligent Systems and Computing, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-030-39319-9_43
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