материалы конференции

En

E3S Web of Conferences. Ural Environmental Science Forum on Sustainable Development of Industrial Region, UESF 2024 Chelyabinsk 22 April 2024 до 25 April 2024

ISSN:25550403

2024

Zhukov, A.¹

Saveliev, A.¹

Zhurenkov, D.¹

Khachaturyan, S.¹

10.1051/e3sconf/202453103010

The article systematizes theoretical and methodological provisions on the international experience of the formation of machine learning in interests of economic development and strengthening of defense capabilities on the example of the USA and China. On the basis of official documents and statistical data the state strategies, the strategy of machine learning formation for dual-use technology and the methodology of state regulation of machine learning in the countries under consideration are analysed. Increasing complexity of modern digital technologies is compensated by their growing interoperability - their readiness to integrate into various heterogeneous spheres of state development without the need for costly adaptation measures. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative

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