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The concept of a machine that thinks derives from ancient Greece. However, as the introduction and the events and achievements for the development of artificial intelligence are significant events and related to some of the subjects covered in this article:

1950: Computing Machinery and Knowledge is written by Alan Turing. In the article, Turingknown for cracking the ENIGMA code of Nazi society during the Second World Warproposes to respond to the question do machines think? and implements the Turing Test (link exists outside of IBM), which would decide if a robot can show the same intellect as the human. Since then, the importance of the Turing test has been discussed.

1956: at the first-ever Dartmouth College AI meeting, John McCarthy coins the word artificial intelligence. (The Lisp language was invented by McCarthy.) Later that year the Logic Theorist, the first AI software in use was developed by Allen Newell, J.C. Shaw, and Herbert Simon.

1967: The first computer-based on a neural network, Frank Rosenblatt produces the Mark 1 Perceptron which is learned through checking and mistakes. A year later, Marvin Minsky and Seymour Papert released a book called Perceptrons, the seminal work of neural entries and an argument against future research ventures of neural networks for at least a while.

1980: Backpropagated neural networks network training algorithms are commonly used in AI applications.

1997: IBMs Deep Blue champion Garry Kasparov defeats than in the chess match (and rematch).

2011: Ken Jennings and Brad Rutter at Jeopardy beating winners of IBM Watson!

2015: The Minwa Supercomputer of Baidu uses a special deep neural network called a neural network to recognize and categorize images that are more precise than the human average.

2016: the AlphaGo software from DeepMind, guided by a deep neural network beats in a five-match game Lee Sodol, the world champion Go. The win is important in light of the large number of moves available (more than 14.5% after only four moves!) as the game progresses. Subsequently, Google bought a rumored $400 million from DeepMind.

Artificial intelligence allows computers and devices to imitate the mental capacity of the human mind to perceive, understand, solve problems and take decisions.

The word artificial intelligence refers to a human-like intelligence demonstrated by a computer, robot, or other machines in computer science. Artificial intelligence refers in common use to a computer or a machines capacity to imitate the human minds capacity to learn from examples and experience, to recognize objects, to understand and respond to language, to make decisions, to resolve problems and to combine these and other capabilities to full function, for instance, to greet a guest at the hotel.

AI is now part of our daily lives after decades of being confined to science fiction. A huge volume of data and the subsequent growth, as well as the vast availability of computing technology, are making a boost in AI development feasible, which allows all this data to be processed more quickly and reliably than human users can. AI finishes by typing our terms, gives instructions when asked, vacuums our floors, and suggests what to buy or watch next. It also helps qualified practitioners perform quicker and with better results by pushing software, such as medical image processing.

As popular today as is artificial intelligence, it can be difficult to grasp the language for AI and AI since certain words are used interchangeably, and in some cases synonymous. What is the difference between machine learning and artificial intelligence? Between the learning process and profound learning? Between speech recognition and production of natural language? Zwischen AI weak and AI strong? This article will help you overcome these and other terms and grasp the concepts of AIs working.

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You need to Know about the History of Artificial Intelligence - Technotification