Web Search as a Product of and Catalyst for AI
Over the last decade, web search has grown to be the largest AI-related industry in history, far surpassing the minor booms for Lisp Machines, Expert Systems, and other technologies. This talk reviews AI technologies behind the Web Search industry, and shows how large text corpora and associated computational power are enabling new AI applications.
Peter Norvig is the Director of Research at Google Inc, where he has been since 2001. From 2002-2005 he was Director of Search Quality, which means he was the manager of record responsible for answering more queries than anyone else in the history of the world. He is a Fellow of the American Association for Artificial Intelligence and co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field (with 94% market share).
Previously he was the head of the Computational Sciences Division at NASA Ames Research Center, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has served as an assistant professor at the University of Southern California and a research faculty member at the University of California at Berkeley Computer Science Department, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006. He has over fifty publications in Computer Science, concentrating on Artificial Intelligence, Natural Language Processing and Software Engineering, including the books Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX. He is also the author of the Gettysburg Powerpoint Presentation and the world's longest palindromic sentence.
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