Peter Norvig
Peter Norvig | |
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Paradigms of AI Programming: Case Studies in Common Lisp | |
Awards |
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Scientific career | |
Fields | Artificial Intelligence[2] |
Institutions | Stanford University Ames Research Center University of Southern California Brown University University of California, Berkeley |
Thesis | A Unified Theory of Inference for Text Understanding (1986) |
Doctoral advisor | Robert Wilensky[3] |
Website | www |
Signature | |
Peter Norvig (born December 14, 1956) is an American computer scientist and Distinguished Education Fellow at the Stanford Institute for Human-Centered AI.[4] He previously served as a director of research and search quality at Google.[5][2][6] Norvig is the co-author with Stuart J. Russell of the most popular textbook in the field of AI: Artificial Intelligence: A Modern Approach used in more than 1,500 universities in 135 countries.[7]
Education
Norvig received a Bachelor of Science in applied mathematics from Brown University[8] and a Ph.D. in computer science from the University of California, Berkeley.[3]
Career and research
Norvig is a councilor of the
Norvig has served as an assistant professor at the
Norvig is one of the creators of
Selected publications and presentations
By 2022, Artificial Intelligence: A Modern Approach, which Norvig first co-authored with Stuart J. Russell in 1995, was the leading textbook in the field used by over 1400 schools globally.[9][7]
In 2001, Norvig published a short article titled Teach Yourself Programming in Ten Years,[18] arguing against the fashionable introductory programming textbooks that purported to teach programming in days or weeks. The article was widely shared and discussed, and has attracted contributed translations to over 20 languages.[18]
Norvig is also known for his 2003 Gettysburg Powerpoint Presentation,[19] a satire about bad presentation practices[20] using Abraham Lincoln's famous Gettysburg Address.
His 2009 IEEE Intelligent Systems article, "The Unreasonable Effectiveness of Data" co-authored with
In a 23 September 2010 lecture presented as part of the Vancouver-based University of British Columbia's Department of Computer Science's Distinguished Lecture Series, Norvig, who was then the Director of Research at Google, described how large quantities of data deepen our understanding of phenomena.[22]
In his June 2012
Awards and honors
Norvig was elected an AAAI Fellow in 2001 and a fellow of the Association for Computing Machinery in 2006.
References
- ^ "Elected AAAI Fellows".
- ^ a b Peter Norvig publications indexed by Google Scholar
- ^ ProQuest 303443749.
- ^ Lynch, Shana (2021). "Peter Norvig: Today's Most Pressing Questions in AI Are Human-Centered". Stanford University.
- ^ "Peter Norvig's home page". Norvig.com. Retrieved 1 April 2020.
- ^ Peter Norvig at DBLP Bibliography Server
- ^ a b "1464 Schools Worldwide That Have Adopted AIMA". Computer Science Division at UC Berkeley. Artificial Intelligence: A Modern Approach. 22 August 2022. Retrieved 29 February 2020.
- ^ S2CID 14300215. Retrieved 21 September 2022.
- ^ OCLC 359890490.
- PMID 21163965.
- ISBN 0-13-790395-2
- ISBN 1-55860-191-0
- ^ "Intelligent Help Systems for Unix"
- ^ "Singularity University list of Faculty and Advisors". Singularityu.org. Archived from the original on 13 October 2009. Retrieved 8 October 2009.
- ^ "Intro to AI - Introduction to Artificial Intelligence - Oct-Dec 2011". Ai-class.com. Archived from the original on 17 October 2012. Retrieved 5 February 2012.
- ^ Naughton, John (5 February 2012). "Welcome to the desktop degree". The Guardian via The Observer. Retrieved 5 February 2012.
- ^ "Udacity - Design of Computer Programs". Udacity.com. Archived from the original on 13 April 2012. Retrieved 26 October 2012.
- ^ a b "Teach Yourself Programming in Ten Years". Norvig.com. Retrieved 6 June 2017.
- ^ "The Gettysburg Powerpoint Presentation". Norvig.com. Retrieved 26 October 2012.
- S2CID 34835018.
- S2CID 6112252. Archived from the originalon 12 February 2021. The Richard Courant lecture in mathematical sciences delivered at New York University, May 11, 1959
- ^ Peter Norvig (guest), UBC Computer Science (Host) (11 October 2011) [2010]. How Billions of Trivial Data Points can Lead to Understanding. Event occurs at 1:02:56. Retrieved 21 September 2022 – via YouTube.
- TED Talk. Retrieved 21 September 2022.
External links
- The Prospects for AI, featuring Neil Jacobstein, Patrick Lincoln, Peter Norvig, and Bruno Olshausen
- An experiment by Norvig on Scientific opinion on climate change