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Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
In 1980, philosopher John Searle coined the term "strong AI" as part of his Chinese room argument. [129] He proposed a distinction between two hypotheses about artificial intelligence: [f] Strong AI hypothesis: An artificial intelligence system can have "a mind" and "consciousness".
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
The AI-powered Super Formula car, which was the same as Kvyat’s vehicle but with a 90 kilogram computer in the cockpit, lost control after rounding a corner on its way to the start line.
Some of the commercial virtual worlds are also taking this technology into new directions, including the high-definition virtual world Blue Mars. Artificial intelligence: Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. AI ...
Some think AI literacy is essential for school and college students [1] [2], while some professors ban AI in the classroom and from all assignments [3] with stern punishments for using AI, classifying it as cheating. [4] AI is employed in a variety of applications, including self-driving automobiles and Virtual assistants. Users of these tools ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
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