Artificial Intelligence and Safety Control

Practical experience in the technical systems creating with the artificial intelligence elements

Artificial Intelligence ◽

10.15407/jai2021.01.095 ◽

2021 ◽

Vol 26 (jai2021.26(1)) ◽

pp. 95-101

Author(s):

Pisarenko V ◽

◽

Pisarenko J ◽

Gulchak O ◽

Chobotok T ◽

...

Keyword(s):

Artificial Intelligence ◽

Extreme Environments ◽

Practical Experience ◽

Mine Safety ◽

Technical Equipment ◽

Rescue Work ◽

Safety Control ◽

Artificial Brain ◽

Technical Systems ◽

The Creation

The practical experience of solving scientific tasks using artificial intelligence technologies is presented. The authors offered their understanding of the term "artificial intelligence". Describes the development of the dept. №265 of Mathematical Problems of Applied Informatics V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine in the creation of technical systems with elements of AI mainly to work in extreme environments. The purpose of the authors is to provide useful information to develop a strategy for the development of AI in the Ukraine. Some of these studies: monitoring the territory and management of land use technologies using remote sensing technologies from aircraft, spacecraft, unmanned aerial vehicles; monitoring the technical equipment of the underwater environment (technical means of searching for a sunken object of the submarine type for emergency operations are being developed); mine safety control (risk research during mining, creating robotic systems with elements of artificial intelligence for studying the conditions of work in the mine, warning accidents and emergency rescue work). The next direction is the diagnosis and treatment of addictive patients using the principles of therapeutic methods BiofeedBack. Attention is paid to the development of robotic technical systems with AI for servicing cosmic long missions. For this, theoretical studies have been conducted on the creation of a live brain mathematical model for its use in the development of the "artificial brain" of robots. The authors gave a list of tasks that can solve AI in programs for long-term space flights, technologies and systems that should develop in the first place to implement these tasks

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