What is Artificial Intelligence (AI)

Artificial Intelligence is a branch of computer science that enables computers and machines to mimic the perception, learning, problem solving and decision making of human mind. It is also a branch of computer science that uses algorithms and mathematical equations to make computers more smatter.

Artificial Intelligence includes the simulation process of human intelligence by machines and special computer systems. The examples of artificial intelligence include learning, reasoning and self-correction.

History of Artificial Intelligence

Artificial Intelligence (AI) has been studied for decades and is still one of the most interesting and elusive branches of Computer Science. The term Artificial Intelligence (AI) was first coined by an american computers scientist and cognitive scientist called John McCarthy in 1956 he also invented a programming language called lisp, which is the second oldest programming language and also still used.

Other Artificial Intelligence inventors include: Alan Turing, Wolfgang von Kempelen, Jacques de Vaucanson, Semyon Korsakov.

Artificial intelligence was born in the 1950s, when a handful of pioneers from the nascent field of computer science started asking whether computers could be made to “think”—a question whose ramifications we’re still exploring today. A concise definition of the field would be as follows: the effort to automate intellectual tasks normally performed by humans. As such, AI is a general field that encompasses machine learning and deep learning, but that also includes many more approaches that don’t involve any learning. Early chess programs, for instance, only involved hardcoded rules crafted by programmers, and didn’t qualify as machine learning. For a fairly long time, many experts believed that human-level artificial intelligence could be achieved by having programmers handcraft a sufficiently large set of explicit rules for manipulating knowledge. This approach is known as symbolic AI, and it was the dominant paradigm in AI from the 1950s to the late 1980s. It reached its peak popularity during the expert systems boom of the 1980s.

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