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project 4 draft 1
project 4 draft 1

... The creation of the first artificial intelligence can’t be a solely human effort. It will have to be created through a partnership between humans and current computers. One of the best current examples of this is Google’s translation system. “Another key aspect of machine translation is the computer ...
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... computers to understand natural languages has proved to be more difficult than originally thought. Some rudimentary translation systems that translate from one human language to another are in existence, but they are not nearly as good as human translators. There are also voice recognition systems t ...
Artificial Intelligence - Governors State University
Artificial Intelligence - Governors State University

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... Note there are also many excellent book available on specific topics such as neural networks but these are not listed here (see webpage). ...
The Next 20 Years of Gaming
The Next 20 Years of Gaming

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Thinking Machines - William Thomas Online
Thinking Machines - William Thomas Online

... As for intelligent machines— forget it, say many threatened humans. “There is no way that a computer can ever exceed the state of simply being a data processor, dealing with zeros and ones, doing exactly what it is told to do,” Narin insists. “Electronic machinery will probably gain even more impor ...
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Artificial Intelligence 人工智能

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AI Introduction PDF document

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PPT Version - OMICS International

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IAI – Exercise Sheet 2

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... comparisons with other creatures or machines. We do not give value to non-human abilities, because we do not understand them We give value to animals (or machines!) copying some aspect of human abilities – Dolphins are intelligent because they do tricks - sharks are ‘mindless’ killing machines becau ...
CS 904: Natural Language Processing
CS 904: Natural Language Processing

... What is artificial intelligence? It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically ...
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Technological singularity

The technological singularity is a hypothetical event related to the advent of artificial general intelligence (also known as ""strong AI""). Such a computer, computer network, or robot would theoretically be capable of recursive self-improvement (redesigning itself), or of designing and building computers or robots better than itself. Repetitions of this cycle would likely result in a runaway effect – an intelligence explosion – where smart machines design successive generations of increasingly powerful machines, creating intelligence far exceeding human intellectual capacity and control. Because the capabilities of such a superintelligence may be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence.The first use of the term ""singularity"" in this context was made in 1958 by the Hungarian born mathematician and physicist John von Neumann. In 1958, regarding a summary of a conversation with von Neumann, Stanislaw Ulam described ""ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue"". The term was popularized by mathematician, computer scientist and science fiction author Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain–computer interfaces could be possible causes of the singularity. Futurist Ray Kurzweil cited von Neumann's use of the term in a foreword to von Neumann's classic The Computer and the Brain.Kurzweil predicts the singularity to occur around 2045 whereas Vinge predicts some time before 2030. At the 2012 Singularity Summit, Stuart Armstrong did a study of artificial general intelligence (AGI) predictions by experts and found a wide range of predicted dates, with a median value of 2040. Discussing the level of uncertainty in AGI estimates, Armstrong said in 2012, ""It's not fully formalized, but my current 80% estimate is something like five to 100 years.""
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