ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS

Abstract

Artificial Intelligence is a research method that focuses on building systems, or "agents," that work intelligently in a given area and decide to take specific steps based on pre-planned prices and "desirable" areas. The most common way to build AI is to use a traditional simulation system, using the concept of “if Then” to decide what action to take in regenerating the environment. The idea of an additional program is used to allow the system to have options when more valid alternatives are available. Another option is to map the human brain electronically and create an artificial copy. Researchers who support this approach to brain mapping believe that they will be able to do just that in the long run. No matter which method is used, AI research is very much tied to the robotic field. Except for the technicians who perform the action considered acceptable by the AI, the agent's influence is limited only to the digital environment. The AI ​​that controls the mechanical framework, however, can perform many functions in real space. Two examples of MIT's combined "swarm-bots" and Cansticut's adult care robot "Nao." Unfortunately, there are several barriers between current technology and the ultimate goal of “real” AI. The most significant difficulty is using a method that allows unlimited programs to “learn” new ideas. A Roomba vacuum device can read where non-functional items are in the room, but will not be taught to download a newspaper every morning. Until researchers can use the learning algorithm in their systems, current technology will not produce real AI. Apart from these limitations, research on creative intelligence has created programs and technologies widely used today. Also, as progress towards real AI continues, the public will benefit from applications from these interventions.