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Artificial intelligence (AI) is a subfield of computer science concerned with the concepts and methods of symbolic inference by computer and symbolic knowledge representation and reasoning for use in making such inferences.

Description[]

AI is seen as an attempt to model aspects of human thought on computers. It is also sometimes defined as trying to solve any problem that a human can solve, but more quickly with a computer. The term is often used as a selling point, like describing programming that drives the behavior of computer characters in a game. However, this may be no more intelligent than "Kill any humans you see; keep walking; avoid solid objects; duck if a human with a gun can see you".[1]

History[]

The term was coined by late Stanford University professor John McCarthy, a leading AI researcher while at Dartmouth College in 1955. The field can be traced back to the Turing test, a set of criteria defined in 1950 by Alan Turing to evaluate a machine's ability to behave like a human.[2]

Examples of early AI problems included computer vision (building a system that can understand images as well as a human) and natural language processing (building a system that can understand and speak a human language as well as a human). In 1993, these modular challenges foundered on the sheer amount of context information required for such "intelligence".[1] This eventually became practical on consumer devices as more powerful mobile processors made machine learning possible through artificial neural networks.[3][4]

Apple and AI[]

It has been reported in March 2023 that Apple is internally working on natural-language generation AI technology for its Siri virtual assistant in its iOS 16.4 update. This was fuelled by the rise of ChatGPT and other generative AI models.[5][6]

See also[]

References[]

External links[]

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