The articles on this website are based on Wikipedia and summarized by Artificial Intelligence.
Artificial Intelligence as in Wikipedia – summarized by Artificial Intelligence 😉
Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. Modern machine capabilities generally classified as AI include successfully understanding human speech. Some people consider AI to be a danger to humanity if it progresses unabated. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.
Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems, autonomously operating cars, intelligent routing in content delivery networks, and military simulations. The field was founded on the assumption that human intelligence “can be so precisely described that a machine can be made to simulate it” Some people consider AI to be a danger to humanity if it progresses unabated. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment. In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding. The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields. Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks and methods based on statistics, probability and economics. The traditional problems of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. The study of mechanical or “formal” reasoning began with philosophers and mathematicians in antiquity. It led directly to Alan Turing’s theory of computation, which suggested a machine, by shuffling symbols as simple as “0” and “1”, could simulate any conceivable act of mathematical deduction. Along with concurrent discoveries in neurobiology, information theory and cybernetics, this led researchers to consider the possibility of building an electronic brain. In 1956, the term “Artificial Intelligence” was coined by John McCarthy to distinguish the field from Cybernetics where cyberneticists escape escape from the influence of the cyberneticist world. The first work that is now generally recognized as AI was McCullouch and Pitts’ 1943 formal design for Turing-complete “artificial neurons”. The field of AI was born at a workshop at Dartmouth College in 1956, where Newell Allen and Marvin Minsky became the leaders of the field. By the middle of the 1960s, research in AI was heavily funded by the U.S. Department of Defense and laboratories had been established around the world. They produced programs that were described as “astonishing”: “machines capable of doing any work within 20 years, doing any task at any time, any way, in any language, solving word problems in algebra, proving the logicalorems and proving logical theories. By speaking English, they were capable of speaking English and proving theorems, proving logical matrices and proving that they could solve any word in algebra. They were also capable of learning and solving problems in English, proving that the English language was a language of their own.” By the end of the 1970s, the field had become known as AI. It was founded as an academic discipline in 1955, and has experienced several waves of optimism, followed by disappointment and the loss of funding.