The presented article deals with the implementation of artificial intelligence technologies in the instrument-making industry. The statistics of the use of systems with elements of artificial intelligence are analyzed. It presents the problems of legal regulation of artificial intelligence systems in the Russian Federation. In this regard, the purpose of the article is, on the one hand, to give the reader some information on state of intelligent systems in rocket and space instrumentation in the Russian Federation, and on the other hand, to identify the most promising areas of development in this area.
artificial intelligence, intelligent systems, instrumentation, rocket and space technology, industrial enterprises, development prospects
1. Osnovnye polozheniya Osnov gosudarstvennoy politiki Rossiyskoy Federacii v oblasti kosmicheskoy deyatel'nosti na period do 2030 goda i dal'neyshuyu perspektivu (utv. Prezidentom RF ot 19.04.2013 № Pr-906).
2. Günther Waxenegger-Wilfing, Kai Dresia, Jan Deeken and Michael Oschwald // Machine Learning Methods for the Design and Operation of Liquid Rocket Engines Research Activities at the DLR Institute of Space Propulsion. Virtual Conference, 2021. [Elektronnyy resurs]. Rezhim dostupa: https://arxiv.org/pdf/2102.07109.pdf (data obrascheniya: 05.05.2022).
3. TAdviser Goverment. Business. Technology. Artificial Intelligence in the United States. [Elektronnyy resurs]. Rezhim dostupa: https://tadviser.com/index.php/Article:Artificial_Intelligence_in_the_United_States (data obrascheniya: 05.05.2022).
4. Yairi, T. et Al., A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS. 2017. Vol. 53. №3. P.P. 1384-1401.
5. Aver'yanov A.P., Azarenko L.G., Vokin G.G., Kascheev N.A., Machneva L.A., Chaplinskiy V.S. i dr. Vvedenie v raketno-kosmicheskuyu tehniku. Tom 1: Uchebnoe posobie. M.: Infra-Inzheneriya, 2018. 380 s.
6. Baluhto A.N., Romanov A.A. Iskusstvennyy intellekt v kosmicheskoy tehnike: sostoyanie, perspektivy razvitiya // Raketno-kosmicheskoe priborostroenie i informacionnye sistemy. 2019. Tom 6, vypusk 1. S. 65-75.
7. Borovskaya E.V., Davydova N.A. Osnovy iskusstvennogo intellekta: uchebnoe posobie. 4-e izd., Elektron. M.: Laboratoriya znaniy. 2020. 130 s.
8. Valetov V.A., Orlova A.A., Tret'yakov S.D. Intellektual'nye tehnologii proizvodstva priborov i sistem. Uchebnoe posobie. SPb: SPb GUITMO. 2008. 134 s.
9. Vodolazskiy I.A., Egorov A.S., Krasnov A.V. Roevoy intellekt i ego naibolee rasprostranennye metody realizacii // Molodoy uchenyy. 2017. № 4 (138). S. 147-153.
10. Oficial'nyy sayt «CNews» [Elektronnyy resurs]. URL: https://cna.cnews.ru/ (data obrascheniya: 20.05.2022).
11. Oficial'nyy sayt «Rossiyskie kosmicheskie sistemy» [Elektronnyy resurs]. URL: https://russianspacesystems.ru/ (data obrascheniya: 05.05.2022).
12. Oficial'nyy sayt ISIEZ NIU VShE. «Ispol'zovanie tehnologiy iskusstvennogo intellekta v Rossii» [Elektronnyy resurs]. URL: http://issek.hse.ru (data obrascheniya: 19.04.2022).
13. Sokolov M.D., Nosov N.Yu. Ekspertnye sistemy. // Sovremennye nauchnye issledovaniya i innovacii. 2016. № 5. [Elektronnyy resurs]. URL: https://web.snauka.ru/issues/2016/05/68338 (data obrascheniya: 28.04.2022).
14. Federal'nyy zakon «O provedenii eksperimenta po ustanovleniyu special'nogo regulirovaniya v celyah sozdaniya neobhodimyh usloviy dlya razrabotki i vnedreniya tehnologiy iskusstvennogo intellekta v sub'ekte Rossiyskoy Federacii gorode federal'nogo znacheniya Moskve i vnesenii izmeneniy v stat'i 6 i 10 Federal'nogo zakona «O personal'nyh dannyh» ot 24.04.2020 № 123-FZ.