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The Turing test, originally called the imitation game by Alan Turing in 1949, [2] is a test of a machine's ability to exhibit intelligent behaviour equivalent to that of a human. In the test, a human evaluator judges a text transcript of a natural-language conversation between a human and a machine. The evaluator tries to identify the machine ...
The Visual Turing Test (VTT) unlike the Turing test has a query engine system which interrogates a computer vision system in the presence of a human co-ordinator. It is a system that generates a random sequence of binary questions specific to the test image, such that the answer to any question k is unpredictable given the true answers to the ...
The minimum intelligent signal test, or MIST, is a variation of the Turing test proposed by Chris McKinstry in which only boolean (yes/no or true/false) answers may be given to questions. The purpose of such a test is to provide a quantitative statistical measure of humanness , which may subsequently be used to optimize the performance of ...
For the first time ever, a computer has successfully convinced people into thinking it's an actual human in the iconic "Turing Test." Computer science pioneer Alan Turing created the test in 1950 ...
The "standard interpretation" of the Turing Test, in which the interrogator is tasked with trying to determine which player is a computer and which is a human Main article: Turing test Rather than trying to determine if a machine is thinking, Turing suggests we should ask if the machine can win a game, called the " Imitation Game ".
Alan Turing, in his 1950 paper Computing Machinery and Intelligence, proposed a test for intelligence which has since become known as the Turing test. [1] While there are a number of different versions, the original test, described by Turing as being based on the "imitation game", involved a "machine intelligence" (a computer running an AI program), a female participant, and an interrogator.
The Summer Camp Test hints at what we need more of in AI: Systems built to solve real problems, from the mundane (like summer camp logistics) to the game-changing (like novel pharmaceutical research).
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