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Artificial intelligence applications have been used in a wide range of fields including medical diagnosis, stock trading, robot control, law, scientific discovery and toys. However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."〔(AI set to exceed human brain power ) CNN.com (July 26, 2006)〕 "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." In the late 90s and early 21st century, AI technology became widely used as elements of larger systems,〔〔 under "Artificial Intelligence in the 90s"〕 but the field is rarely credited for these successes. To allow comparison with human performance, artificial intelligence can be evaluated on constrained and well-defined problems. Such tests have been termed subject matter expert Turing tests. Also, smaller problems provide more achievable goals and there are an ever-increasing number of positive results. ==Performance evaluation== The broad classes of outcome for an AI test are: * optimal: it is not possible to perform better * strong super-human: performs better than all humans * super-human: performs better than most humans * par-human: performs similarly to most humans * sub-human: performs worse than most humans 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Progress in artificial intelligence」の詳細全文を読む スポンサード リンク
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