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IntroductiontoArtificialIntelligence
IntroductiontoArtificialIntelligence

... knowledge that is self contradictory. ...
Overview and History
Overview and History

... Tighter definition: AI is the science of making machines do things that would require intelligence if done by people. (Minsky)  at least we have experience with human intelligence possible definition: intelligence is the ability to form plans to achieve goals by interacting with an information-rich ...
What is AI?
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... • The branch of computer science called Artificial Intelligence is said to have been born at a conference held at Dartmouth, USA, in 1956 • The scientists attending that conference represented several different disciplines: mathematics, neurology, psychology, electrical engineering, etc • They had o ...
ppt - Dave Reed
ppt - Dave Reed

... Tighter definition: AI is the science of making machines do things that would require intelligence if done by people. (Minsky)  at least we have experience with human intelligence possible definition: intelligence is the ability to form plans to achieve goals by interacting with an information-rich ...
AITestReview
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... • Currently, no computers exhibit full artificial intelligence (that is, are able to simulate human behavior). The greatest advances have occurred in the field of games playing. The best computer chess programs are now capable of beating humans. In May, 1997, an IBM super-computer called Deep Blue d ...
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... “There are a number of key aspects characterizing this style of work • [Situatedness] The robots are situated in the world - they do not deal with abstract descriptions but with the here and now of the world directly influencing the behavior of the system. • [Embodiment] The robots have bodies and ...
Will machines outsmart man
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... spike a maximum of 200 times per second; even this may overstate the information-processing capability of neurons, since most modern theories of neural information-processing call for information to be carried by the frequency of the spike train rather than individual signals. By comparison, speeds ...
Kalvopohja (English) (ppt)
Kalvopohja (English) (ppt)

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File - Hewes English Adventures
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Read the full article here
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Overview and History
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... Tighter definition: AI is the science of making machines do things that would require intelligence if done by people. (Minsky)  at least we have experience with human intelligence possible definition: intelligence is the ability to form plans to achieve goals by interacting with an information-rich ...
Artificial Intelligence.pptx
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Artificial Intelligence Definition (4 categories)

... Cognitive modeling approach: which brings together computer models from AI and experimental techniques from psychology ...
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... Can machines be made Self-Aware? Implies that at some point they might not need further programming….they do it themselves….just like a new born infant does from the time it is born! The machines could then decide whether or not they like us…and if they should keep us around! ...
Artificial Intelligence
Artificial Intelligence

...  PROSPECTOR – Analyzes geologic data and makes interpretations and predictions.  LUNAR – Contained a wealth of information about moon rocks and was able to answer questions about them written in plain English  CYRUS – Was fed news articles about Secretary of State Cyrus Vance and was able to be i ...
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Poggio_TimesofIsrael-OPSblogs_Brains, minds, and machines
Poggio_TimesofIsrael-OPSblogs_Brains, minds, and machines

... organizations. Even a partial solution to the problem of intelligence has great potential benefits for our society, technology, and the economy. Not quite there yet. A screen capture of Apple's Siri software Imagine a world where intelligence and its emergence from brain activity is truly understoo ...
Human-Machine Interaction and User
Human-Machine Interaction and User

... • Researchers build AI programs having some aspect of intelligence… not 100%. • The order in which AI problems where tackled: – Early Work: Game playing, theorem proving, commonsense reasoning. – Subsequent Work: Perception (Vision and speech), Natural Language Understanding, Expert Problem Solving. ...
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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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