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What is introduction artificial intelligence?
Artificial Intelligence is an approach to make a computer, a robot, or a product to think how smart human think. The aim of AI is to improve computer functions which are related to human knowledge, for example, reasoning, learning, and problem-solving.
What is artificial intelligence explain in short?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
Who introduced artificial intelligence?
Alan Mathison Turing
Theoretical work. The earliest substantial work in the field of artificial intelligence was done in the mid-20th century by the British logician and computer pioneer Alan Mathison Turing.
Why was AI introduced?
The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning.
What is artificial intelligence definition Javatpoint?
So, we can define AI as: “It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions.” Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems.
How did artificial intelligence begin?
The beginnings of modern AI can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined.
How is artificial intelligence created?
How Artificial Intelligence Works. AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.