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AI takeover – point at which humans are no longer the dominant form of intelligence on Earth and machine intelligence is Ethics of AI § Weaponization Artificial intelligence arms race – competition between two or more states to have its military forces equipped with the best "artificial intelligence" (AI).
McCarthy, John; Minsky, Marvin; Rochester, Nathan; Shannon, Claude (1955), A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, archived from the original on 26 August 2007; McCarthy, John; Hayes, P. J. (1969), "Some philosophical problems from the standpoint of artificial intelligence", Machine Intelligence, 4: 463 ...
Artificial Neuron: Warren McCulloch and Walter Pitts develop a mathematical model that imitates the functioning of a biological neuron, the artificial neuron which is considered to be the first neural model invented. [12] 1950: Turing's Learning Machine: Alan Turing proposes a 'learning machine' that could learn and become artificially intelligent.
The history of artificial intelligence (AI) began in antiquity, with myths, stories, and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The study of logic and formal reasoning from antiquity to the present led directly to the invention of the programmable digital computer in the 1940s, a machine ...
The U.S. government is conducting a final review of an "Artificial Intelligence Diffusion" rule drafted by the Commerce Department, according to a government posting this week, indicating it may ...
Monetization is likely to be a point of focus in 2025 because investors are seeking a payoff for the tens of billions of dollars companies like Alphabet have spent to develop AI so far.
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence is a book by Australian academic Kate Crawford. It is based on Crawford's research into the development and labor behind artificial intelligence, as well as AI's impact on the world.
Artificial intelligence is used in astronomy to analyze increasing amounts of available data [159] [160] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...
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