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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, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human ...
A machine cannot be the subject of its own thought (or can't be self-aware). A program which can report on its internal states and processes, in the simple sense of a debugger program, can certainly be written. Turing asserts "a machine can undoubtably be its own subject matter." A machine cannot have much diversity of behaviour. He notes that ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
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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 machine passes the test if it can convince the judge it is human a significant fraction of the time. Turing proposed this as a practical measure of machine intelligence, focusing on the ability to produce human-like responses rather than on the internal workings of the machine. [34] Turing described the test as follows:
About a year ago, when ChatGPT launched, AI came close to passing the Turing Test, the famous thought experiment devised by English mathematician Alan Turing in 1950. ... VP of AI and Machine ...
During this time, he continued to do more abstract work in mathematics, [139] and in "Computing Machinery and Intelligence" (Mind, October 1950), Turing addressed the problem of artificial intelligence, and proposed an experiment that became known as the Turing test, an attempt to define a standard for a machine to be called "intelligent".