Artificial intelligence, or AI, is the capability of a machine to exhibit intelligent behavior. The term was coined in 1956 by computer scientist John McCarthy and has previously been defined as "the science and engineering of making intelligent machines." In this sense, it is related to the similar task of using computers for control, but AI does not have to confine itself to methods that are biologically observable.
Artificial intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence, such as visual perception, speech recognition and decision-making. Artificial intelligence is also the field of study devoted to creating machines that behave in a way that's considered intelligent.
The term "artificial intelligence" was coined in 1955 by John McCarthy, who defined it as "the science and engineering of making intelligent machines." Though AI has existed in some form since antiquity, modern AI began to take shape in the 1950s when researchers started trying to solve problems that required human-like reasoning and problem-solving skills.
In 1956, MIT researcher Herbert Simon predicted that machines would someday be "capable of doing any work a man can do." In 1957, Herb Gelernter published one of the first AI programs on an IBM 704 computer at Cornell University. The program solved algebra word problems by looking for patterns rather than using complex algorithms or rules.
Artificial intelligence, or AI, is the intelligence exhibited by machines that have been programmed to perform tasks that normally require human intelligence. Artificial intelligence can be categorized into several different types. Some types of AI are:
Narrow AI—A type of AI that specializes in one particular function and is not capable of performing any other tasks. For example, a calculator is an example of narrow AI because it only calculates numbers.
Generalized AI—This type of AI can perform many different tasks but is not specialized in any one area. For example, a computer with a program that can play chess would be considered generalized AI because it has the capability of playing many different games such as checkers or backgammon.
Supervised learning—A type of machine learning where the computer learns from examples provided by humans and then make decisions based on what it has learned which are usually correct but can sometimes lead to incorrect conclusions when the data set used during training does not contain enough information for making good decisions (for example: if there aren't any cars around then its unlikely that there will be any accidents involving cars).