Artificial intelligence technologies in increasing data reliability

Аннотация

Mind perception is the intellectual ability of humanity, intellectual abilities include such parameters as human perception, memory, scope of thinking. Artificial intelligence refers to the mind that uses machines to perform on the basis of the functioning of the human mind. Mankind‘s intellect may not be limited, but machines can run much faster than humans when it comes to solving a problem over time. Tasks like doing a lot of calculations in a short period of time are the strengths of digital computers. In this respect, they are superior to humans in many ways. But in many other areas, humans are far superior to machine systems. For example, in an unfamiliar environment, a person can make a decision much faster than a car. In recent times, scientists have used games to prove the superiority of machines over humans, and have managed to do so with a vengeance, but now the creation of such machines and astonishing people with it has lost its relevance. Keywords: Control systems, artificial intelligence, mathematical models, data flow, deep learning. Recent research by researchers has shown that intelligent systems cannot be built without a deep understanding of human intelligence and intelligent movement in general, so neural networks are important in artificial intelligence. The inherent strength of the human mind is its ability to be flexible. We are able to adapt to different environmental conditions and change our behavior through learning. Because our learning ability is so much higher than that of computers, machine learning is a central sub-field of artificial intelligence. The word "intellect" is derived from the Latin word "intellectus", which means to know (determine), understand or comprehend (mind) [1]. If we look at the history of artificial intelligence, it is only in the second half of the twentieth century that humans created the first prototypes of artificial intelligence, but long before that they began to talk about "thinking machines". For example, in the nineteenth century, Mary Shelley 's Frankenstein and Samuel Butler 's Darwin developed the idea of artificial humans and machines of thought in fiction. Artificial intelligence has become a constant subject of science fiction to this day. In the 1940s and 1950s, researchers in various fields (mathematics, psychology, engineering, economics, and political science) began to discuss the possibility of creating artificial intelligence [2]. Artificial intelligence as a practical science of mechanizing thinking could, of course, only begin when programmable computers were available. In the early 1950s, Herbert Simon, Allen Newell, and Cliff Shaw experimented with writing programs to mimic human thought processes. As a result of the experiments, a program called Logic Theorist emerged, consisting of rules of axioms that had already been proven. When he is given a new logical expression, he seeks out all possible operations to find proof of the new expression using heuristics. This process was an important step in the development of artificial intelligence . Although the work of Simon et al. And Shenon demonstrated the concept of intelligent computer software, 1956 is the beginning of the subject of artificial intelligence. This is because the first artificial intelligence conference, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester and Claude Shannon at Dartmouth College in New Hampshire , was held in 1956. It was at that conference that John McCarthy, the creator of the LISP programming language, proposed the term artificial intelligence. The Dartmouth Conference paved the way for the use of computers to process symbols, the need for new languages, and the role of computers to prove the theorem instead of focusing on hardware that simulates the mind [2]. To this day, the benefits and harms of artificial intelligence to humanity are being discussed among people working in the field of science. On May 23, 2017, Google‘s Alpha Go artificial intelligence program defeated then-world number one Ke Jin in a three-game game. In strategic strategy games, computers have been beating people, but in Alpha Go, they have not been able to do so because the game was innumerable for mathematical algorithms, the number of combinations in the game board cells was estimated to be greater than the number of atoms in the universe. [1,2]. This victory has put an end to many controversies, showing that the possibilities of artificial intelligence are not limited. The types of artificial intelligence technologies can be illustrated by Figure 1 below. 200 Figure 1. Types of artificial intelligence technology. The basis of artificial intelligence is neural networks, on the basis of neural networks can be organized machine learning and in-depth learning technologies. 2. Mathematical models of artificial intelligence technologies Artificial intelligence and machine learning offer businesses ample opportunities to improve their operations and increase their