MAIN CHALLENGES RELATED TO ARTIFICIAL INTELLIGENCE IN THE FIELDS OF INFORMATION TECHNOLOGY

Abstract

The change of generations of computing technology is equivalent to another scientific and technological revolution. With the advent of new generations of computers, communication facilities, multiprocessor systems and the development of Internet technologies, it will be possible not only to solve fundamentally new problems in all areas of science and technology, but also to significantly expand the possibilities for their implementation. Solving previously traditional problems at a new, qualitative level, the qualitative level of solving problems, first of all, involves providing the necessary and sufficient intellectual support. Intellectualization of information and computing systems means not only the use of new-generation tools, but also the use of a new generation of mathematical, algorithmic and software tools. Information and computing systems with intellectual support are usually used to solve complex problems where logical information processing is superior to computational processing. Examples of such problems are: understanding and synthesizing texts in natural language, understanding and synthesizing speech, analyzing visual information, controlling robots, analyzing situations and making decisions.