Peter Norvig

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Peter Norvig, an American computer scientist, AI researcher, software developer and director of research at Google Inc.. He received a Ph.D. in CS from University of California, Berkeley in 1986 on natural language processing , has been an assistant professor at the University of Southern California and a research faculty member at Berkeley, and was further affiliated with Stanford University, Sun Microsystems, Harlequin, Junglee and the NASA, where his division developed the remote agent experiment that flew on the Deep Space 1 spacecraft. He is a fellow of the AAAI, ACM, California Academy of Science and American Academy of Arts and Sciences. =Strachey's Checkers Program= In 2011, Peter Norvig re-published a corrected annotated version of Christopher Strachey's Checkers program in Python, which was originally written in CPL, as published 1966 in Scientific American.

=Online Education= In 2011, along with Sebastian Thrun, Peter Norvig co-teached an online AI class initially through Stanford University, for which 160,000 students registered and 23,000 completed. As an outgrowth of free computer science classes, Thrun founded the for-profit educational organization Udacity.

=Selected Publications=

1983 ...

 * Peter Norvig (1983). Six Problems for Story Understanders. AAAI 1983
 * Peter Norvig (1986). A Unified Theory of Inference for Text Understanding. Ph. D. thesis, University of California, Berkeley, advisor Robert Wilensky

1990 ...

 * Peter Norvig (1992). Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp. Morgan Kaufmann
 * Stuart Russell, Peter Norvig (1994). A Modern, Agent-Oriented Approach to AI Instruction. Proceedings of the AAAI Fall Symposium on Innovative Instruction for Introductory AI, pdf
 * Stuart Russell, Peter Norvig (1995). Artificial intelligence - a modern approach: the intelligent agent book. Prentice Hall

2000 ...

 * Stuart Russell, Peter Norvig (2003). Artificial Intelligence: A Modern Approach. Prentice Hall, 2nd edition
 * Alon Halevy, Peter Norvig, Fernando Pereira (2009). The Unreasonable Effectiveness of Data. IEEE Intelligent Systems, pdf, UBC Department of Computer Science's Distinguished Lecture Series, September 23, 2010, YouTube Video
 * Stuart Russell, Peter Norvig (2009). Artificial Intelligence: A Modern Approach. Pearson Education, 3rd edition

2010 ...

 * Alfred Spector, Peter Norvig, Slav Petrov (2012). Google's Hybrid Approach to Research. Communications of the ACM, Vol. 55, No. 7
 * Peter Norvig (2014). Machine learning for programming. SPLASH (Companion Volume) 2014
 * Peter Norvig (2015). Applying machine learning to programs. OpenSym Companion 2015
 * Peter Norvig (2015). Machine Learning for Learning at Scale. L@S 2015
 * Peter Norvig (2016). The Semantic Web and the Semantics of the Web: Where Does Meaning Come From? WWW2016
 * Moshe Looks, Marcello Herreshoff, DeLesley Hutchins, Peter Norvig	(2017). Deep Learning with Dynamic Computation Graphs. arXiv:1702.02181

=External Links=
 * Peter Norvig
 * Peter Norvig - Research at Google
 * Peter Norvig | LinkedIn
 * Peter Norvig from Wikipedia
 * Peter Norvig - The Mathematics Genealogy Project
 * Intro to Artificial Intelligence Course and Training Online - Udacity by Peter Norvig and Sebastian Thrun
 * Peter Norvig: The 100,000-student classroom, YouTube Video

=References= Up one level