This paper presents practical examples to unravel the potential of artificial intelligence technologies used in the provision of innovative goods and services. The authors substantiate the need of further studying the development of neural networks to create radically new products. The main trends and leading projects are reviewed that rely on artificial intelligence. We emphasize the importance of timely tracking and timely implementation of the new technologies in business structures and their use as a tool for gaining competitive advantages. The article highlights today’s high-tech projects that have successfully entered or are in the process of integration into the market. The authors examine and describe artificial intelligence technologies accelerating the advent of technological singularity and the entire process of industrial development. We describe the advantages of the latest projects expressed in indisputable efficiency of technologies in question.
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22 June 2022
PROCEEDINGS OF THE II INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS, SYSTEMS AND TECHNOLOGIES: (CAMSTech-II 2021)
29–31 July 2021
Krasnoyarsk, Russian Federation
Research Article|
June 22 2022
Artificial intelligence technologies as a competitive advantage of business in the conditions of technological singularity
M. N. Kondratyeva;
M. N. Kondratyeva
a)
Russian Technological University — MIREA, Innovative Technologies and Public Administration Institute
, Prospekt Vernadskogo, 78, Moscow, 119454, Russia
a)Corresponding author: [email protected]
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D. D. Svirina
D. D. Svirina
b)
Russian Technological University — MIREA, Innovative Technologies and Public Administration Institute
, Prospekt Vernadskogo, 78, Moscow, 119454, Russia
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2467, 040011 (2022)
Citation
M. N. Kondratyeva, D. D. Svirina; Artificial intelligence technologies as a competitive advantage of business in the conditions of technological singularity. AIP Conf. Proc. 22 June 2022; 2467 (1): 040011. https://doi.org/10.1063/5.0093020
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