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Advantages of Artificial Intelligence
Advantages of Artificial Intelligence

... exploring the ocean floor and hence overcoming the human limitations. Due to the programming of the robots, they can perform more laborious and hard work with greater responsibility. They do not wear out easily. 3. Daily Application: Computed methods for automated reasoning, learning and perception ...
Machine Learning
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Thinking Machines - William Thomas Online

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Learn more
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... What is Artificial Intelligence? • The goal of Artificial Intelligence is to build “smart systems” • A “smart system” should pass Turing’s (1950) “Turing Test”: – An interrogator is connected to one person and one machine via a terminal, and therefore can't see her counterparts. – Her task is to fi ...
Lecture 1 2015 INF3490/INF4490: Biologically Inspired Computing
Lecture 1 2015 INF3490/INF4490: Biologically Inspired Computing

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Artificial Intelligence - University of Regina
Artificial Intelligence - University of Regina

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Artificial Intelligence
Artificial Intelligence

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Higher intelligence at MAICS

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WWAI. Towards a massively-parallel-wetware

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Artificial Intelligence - Department of Computer Science

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Artificial Intelligence : A Perspective!

... Charles Babbage first tinkered with his machines . Lady Lovelace , for whom the ADA programming language is named , was Babbage 's main sponsor . She was besieged by the press, wondering if Babbage 's machines would ever be as smart as people . At that time , she intelligently denied it would ever b ...
PowerPoint Presentation - Artificial Intelligence
PowerPoint Presentation - Artificial Intelligence

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Artificial Intelligence - Information Technology Services
Artificial Intelligence - Information Technology Services

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Artificial Intelligence - Information Technology Services
Artificial Intelligence - Information Technology Services

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PowerPoint Presentation - AI and Automation
PowerPoint Presentation - AI and Automation

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Machine Learning 1 COMP 307 30 Aug 2005
Machine Learning 1 COMP 307 30 Aug 2005

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1013aug2009 - Homepages | The University of Aberdeen
1013aug2009 - Homepages | The University of Aberdeen

... Matt Ginsberg meant by this quotation. How does AI differ from other Engineering disciplines, such as Civil Engineering or Mechanical Engineering? Give some examples of AI work which could be classified as engineering, and some examples which could be classified as science. ...
AWESOME-Dissertation Environment
AWESOME-Dissertation Environment

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Risks of general artificial intelligence
Risks of general artificial intelligence

... Of course, superintelligence may constitute a risk without being an agent, but what do we really know about it, then? Even if intelligence is not deeply mysterious and fundamentally incomparable, as some people claim, it is surely not a simple property with a one-dimensional metric. So, just saying ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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