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Published on Sep 2, 2009
Peter Norvig [Director of Research, Google] Abstract: Recent advances in Artificial Intelligence, and in Internet search, have been driven by the ability to build improved models from large amounts of data. This talk looks at the process of gathering and processing the data, building the models, and using them for new applications in language processing, computer vision, and other fields.
Biography: Peter Norvig is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. At Google Inc he was Director of Search Quality, responsible for the core web search algorithms from 2002-2005, and has been Director of Research from 2005 on.
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.