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Artificial Intelligence: Artificial Intelligence Search
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Artificial Intelligence is a somewhat dated introduction to the subject. If you are looking for an introduction to core topics in artificial intelligence (AI), such as logic, knowledge representation, and search, this book has something to offer. However, if you want to learn about some of the newer areas of AI, such as genetic algorithms, neural networks, and intelligent agents, you will wish to select a different text.
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Artificial Intelligence at Brown University is concerned with theoretical and empirical studies involving problems ranging from natural language interpretation and machine perception to mobile robotics and disembodied agents, such as those employed in searching the World Wide Web. The research emphasizes algorithmic issues as they arise in using sophisticated models (many of them probabilistic models) to represent and solve such problems. The applications include auctions and other economic transactions on the World Wide Web, data mining, extraction of semantic content from text, face and gesture recognition, and planning and control for mobile robots. The basic techniques borrow from information and game theory, statistics, probability theory, operations research, Bayesian decision theory, and the design and analysis of algorithms. Faculty and students (both graduate and undergraduate) are involved in multi-disciplinary research projects collaborating with such departments as Applied Mathematics, Brain Science, Cognitive and Linguistic Sciences, Engineering, and the School of Medicine.
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An example of artificial intelligence is computer perception. Perception is the formation, from a sensory signal, of an internal representation suitable for intelligent processing. Though there are many types of sensory signals, computer perception has focused on vision and speech. Perception might seem to be distinct from intelligence, since it involves incident time-varying continuous energy distributions prior to interpretation in symbolic terms. However, all the same ingredients occur: representation, search, architecture, and knowledge. Speech perception starts with the acoustic wave of a human utterance and proceeds to an internal representation of what the speech is about.
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Founded in February 2004, the Accoona Corporation is an industry pioneer in Artificial Intelligence search technology, and has filed a patent with over 650 claims. The company unveiled the Accoona search engine in December 2004, with the official consumer launch planned for mid 2005. Accoona delivers more relevant search results through its innovative SuperTarget Your Search TM feature, comprehensive QuickProfileTM database and sophisticated contextual and keyword search capabilities. Internationally, Accoona holds a 20-year exclusive agreement with the China Daily Information Company as the official search provider for ChinaDaily.com -- the first news site in China and one of the country's largest portals.
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Founded in February 2004, the Accoona Corporation is an industry pioneer in Artificial Intelligence search technology. The company launched http://www.accoona.com/ on December 6, 2004 with President Bill Clinton performing the first live Search. Accoona serves more relevant search results through its innovative SuperTarget(TM) feature, comprehensive QuickProfile(TM) database and sophisticated contextual and keyword search capabilities. Internationally, Accoona holds a 20-year exclusive agreement with the China Daily Information Company as the official search provider for ChinaDaily.com - - the first news site in China and one of the country's largest portals.
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Accoona Adds News Search Functionality to its Artificial Intelligence Search Engine PR Newswire (Feb 28) Accoona applies its SuperTargeting (TM) to news stories. Article does not mention how many sources but does say that Accoona has a 30-day archive.
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