Correlation identification algorithm in artificial intelligence systems

Myroslav T. Strynadko

doi:10.1117/12.2553700

6 February 2020 Correlation identification algorithm in artificial intelligence systems

Myroslav T. Strynadko

Proceedings Volume 11369, Fourteenth International Conference on Correlation Optics; 1136909 (2020) https://doi.org/10.1117/12.2553700
Event: Fourteenth International Conference on Correlation Optics, 2019, Chernivtsi, Ukraine

Abstract

In most cases, the definition of artificial intelligence implies the ability of a machine to imitate human behavior. In the development of artificial intelligence, an important element is algorithms. It is the algorithms that make the system smart. Currently the questions being raised about the way society is structured with regard to data use and data privacy, data sharing. Effective methods of developing functional artificial intelligence is to based on the architecture of the brain. The ubiquity of the internet and smartphone prevalence around the world means that within the next decade or two, nearly every person on earth will have access to artificial intelligence. The paper discusses the correlation identification algorithm in artificial intelligence systems. The paper describes the structure of the algorithm for mutual identification of intelligent systems. The algorithm is based on the advantages of the SmtLoq technology. The problems of the formation of separate subsystems in a common set of integrated intellectual systems are considered.

Citation Download Citation

Myroslav T. Strynadko "Correlation identification algorithm in artificial intelligence systems", Proc. SPIE 11369, Fourteenth International Conference on Correlation Optics, 1136909 (6 February 2020); https://doi.org/10.1117/12.2553700

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