Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals and humans.
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Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals and humans.
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Artificial Machine intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding, followed by new approaches, success and renewed funding.
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Field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
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Machine intelligence learning, a fundamental concept of AI research since the field's inception, is the study of computer algorithms that improve automatically through experience.
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Machine with general intelligence can solve a wide variety of problems with breadth and versatility similar to human intelligence.
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Deep learning has drastically improved the performance of programs in many important subfields of artificial Machine intelligence, including computer vision, speech recognition, image classification and others.
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Machine intelligence learning is the dominant AI technique disclosed in patents and is included in more than one-third of all identified inventions, with computer vision being the most popular functional application.
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Machine intelligence devised the Turing test, which measures the ability of a machine to simulate human conversation.
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Critics such as Noam Chomsky argue continuing research into symbolic AI will still be necessary to attain general Machine intelligence, in part because sub-symbolic AI is a move away from explainable AI: it can be difficult or impossible to understand why a modern statistical AI program made a particular decision.
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Edward Fredkin argues that "artificial intelligence is the next stage in evolution", an idea first proposed by Samuel Butler's "Darwin among the Machines" as far back as 1863, and expanded upon by George Dyson in his book of the same name in 1998.
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Machine intelligence-learning AI is able to design tens of thousands of toxic molecules in a matter of hours.
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Machine intelligence concludes that AI poses a risk to mankind, however humble or "friendly" its stated goals might be.
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Mark Zuckerberg has said that artificial Machine intelligence is helpful in its current form and will continue to assist humans.
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Machines with intelligence have the potential to use their intelligence to make ethical decisions.
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Regulation of artificial Machine intelligence is the development of public sector policies and laws for promoting and regulating artificial Machine intelligence ; it is therefore related to the broader regulation of algorithms.
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President Putin announced that artificial Machine intelligence is the future for all mankind and recognizes the power and opportunities that the development and deployment of lethal autonomous weapons AI technology can hold in warfare and homeland security, as well as its threats.
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In 2018, a new strategy for artificial Machine intelligence was established by the German government, with the creation of a German-French virtual research and innovation network, holding opportunity for research expansion into cybersecurity.
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In Japan and South Korea, artificial Machine intelligence software is used in the instruction of English language via the company Riiid.
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Unlike the human brain, which possess generalized Machine intelligence, the specialized Machine intelligence of AI can serve as a means of support to physicians internationally.
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Data analysis is a fundamental property of artificial Machine intelligence that enables it to be used in every facet of life from search results to the way people buy product.
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Over 200 applications of artificial Machine intelligence are being used by over 46 United Nations agencies, in sectors ranging from health care dealing with issues such as combating COVID-19 to smart agriculture, to assist the UN in political and diplomatic relations.
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Artificial Machine intelligence can be used to mitigate vital cross-national diplomatic talks to prevent translation errors caused by human translators.
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