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COMPUTATIONAL INTELLIGENCE RESEARCH GROUP
COMPUTATIONAL INTELLIGENCE RESEARCH GROUP

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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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