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| volume = 362| issue = 9381| pages = 343–344| year = 2003| pmid = 12907004| s2cid = 34835018}}</ref> using [[Abraham Lincoln]]'s famous [[Gettysburg Address]].
| volume = 362| issue = 9381| pages = 343–344| year = 2003| pmid = 12907004| s2cid = 34835018}}</ref> using [[Abraham Lincoln]]'s famous [[Gettysburg Address]].


His 2009 IEEE Intelligent Systems article, "The Unreasonable Effectiveness of Data" co-authored with [[Alon Y. Halevy]] has been cited in relation to [[foundation models]].<ref name="Halevy_Norviq_Pereira_200903">{{Cite journal | last1 = Halevy | first1 = Alon | author-link1 = Alon Y. Halevy| last2 = Norvig | first2 = P. | author-link2 = Peter Norvig| last3 = Pereira | first3 = Fernando |editor-first=Brian |editor-last=Brannon| doi = 10.1109/MIS.2009.36 | title = The Unreasonable Effectiveness of Data | journal = IEEE Intelligent Systems | volume = 24 | issue = 2 | pages = 8–12 | year = 2009 | url = http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/35179.pdf| s2cid = 14300215 |access-date=21 September 2022}}</ref> "But invariably, simple models and a lot of data trump more elaborate models based on less data."<ref name="Halevy_Norviq_Pereira_200903"/>{rp|9}} "Choose a representation that can use unsupervised learning on unlabeled data, which is so much more plentiful than labeled data."<ref name="Halevy_Norviq_Pereira_200903"/>{rp|12}}
His 2009 IEEE Intelligent Systems article, "The Unreasonable Effectiveness of Data" co-authored with [[Alon Y. Halevy]] has been cited in relation to [[foundation models]].<ref name="Halevy_Norviq_Pereira_200903">{{Cite journal | last1 = Halevy | first1 = Alon | author-link1 = Alon Y. Halevy| last2 = Norvig | first2 = P. | author-link2 = Peter Norvig| last3 = Pereira | first3 = Fernando |editor-first=Brian |editor-last=Brannon| doi = 10.1109/MIS.2009.36 | title = The Unreasonable Effectiveness of Data | journal = IEEE Intelligent Systems | volume = 24 | issue = 2 | pages = 8–12 | year = 2009 | url = http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/35179.pdf| s2cid = 14300215 |access-date=21 September 2022}}</ref> "But invariably, simple models and a lot of data trump more elaborate models based on less data."<ref name="Halevy_Norviq_Pereira_200903"/>{{rp|9}} "Choose a representation that can use unsupervised learning on unlabeled data, which is so much more plentiful than labeled data."<ref name="Halevy_Norviq_Pereira_200903"/>{{rp|12}}


===Awards and honors===
===Awards and honors===

Revision as of 16:59, 21 September 2022

Peter Norvig
Peter Norvig in 2019
Born (1956-12-14) December 14, 1956 (age 68)
NationalityAmerican
Alma materBrown University
University of California, Berkeley
Known forArtificial Intelligence: A Modern Approach
Paradigms of AI Programming: Case Studies in Common Lisp
Awards
Scientific career
FieldsArtificial Intelligence[2]
InstitutionsStanford University
Google
Ames Research Center
University of Southern California
Brown University
University of California, Berkeley
ThesisA Unified Theory of Inference for Text Understanding (1986)
Doctoral advisorRobert Wilensky[3]
Websitewww.norvig.com Edit this at Wikidata
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]Halevy, Alon; Norvig, P.; Pereira, Fernando (2009). Brannon, Brian (ed.). "The Unreasonable Effectiveness of Data" (PDF). IEEE Intelligent Systems. 24 (2): 8–12. doi:10.1109/MIS.2009.36. S2CID 14300215. Retrieved 21 September 2022.</ref> and a Ph.D. in computer science from the University of California, Berkeley.[3]

Career and research

Norvig is a councilor of the Association for the Advancement of Artificial Intelligence and co-author, with Stuart J. Russell, of Artificial Intelligence: A Modern Approach, now the leading college text in the field.[9] He was head of the Computational Sciences Division (now the Intelligent Systems Division) at NASA Ames Research Center, where he oversaw a staff of 200 scientists performing NASA's research and development in autonomy and robotics, automated software engineering and data analysis, neuroengineering, collaborative systems research, and simulation-based decision-making. Before that he was chief scientist at Junglee, where he helped develop one of the first Internet comparison-shopping services; chief designer at Harlequin Inc.; and senior scientist at Sun Microsystems Laboratories.

Norvig has served an assistant professor at the University of Southern California and a research faculty member at Berkeley. He has over fifty publications in various areas of computer science, concentrating on artificial intelligence, natural language processing, information retrieval[10] and software engineering, including the books Artificial Intelligence: A Modern Approach,[11] Paradigms of AI Programming: Case Studies in Common Lisp,[12] Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.[13]

Norvig is one of the creators of JScheme. Norvig is listed under "Academic Faculty & Advisors" for the Singularity University.[14] In 2011, Norvig worked with Sebastian Thrun to develop a popular online course in Artificial Intelligence[15] that had more than 160,000 students enrolled.[16] He also teaches an online course via the Udacity platform.[17] He believes that a teaching revolution, fostered by computer tools, is pending.[18]

Selected publications

In 1995, Stuart J. Russell and Norviq co-authored Artificial Intelligence: A Modern Approach, which became the leading textbook in the field and was reprinted in four editions.[9]

In 2001, Norvig published a short article titled Teach Yourself Programming in Ten Years,[19] 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.[19]

Norvig is also known for his 2003 Gettysburg Powerpoint Presentation,[20] a satire about bad presentation practices[21] using Abraham Lincoln's famous Gettysburg Address.

His 2009 IEEE Intelligent Systems article, "The Unreasonable Effectiveness of Data" co-authored with Alon Y. Halevy has been cited in relation to foundation models.[8] "But invariably, simple models and a lot of data trump more elaborate models based on less data."[8]: 9  "Choose a representation that can use unsupervised learning on unlabeled data, which is so much more plentiful than labeled data."[8]: 12 

Awards and honors

Norvig was elected an AAAI Fellow in 2001 and a fellow of the Association for Computing Machinery in 2006.

References

  1. ^ "Elected AAAI Fellows".
  2. ^ a b Peter Norvig publications indexed by Google Scholar Edit this at Wikidata
  3. ^ a b Norvig, Peter (1986). A Unified Theory of Inference for Text Understanding (PhD thesis). University of California, Berkeley. OCLC 901967025. ProQuest 303443749.
  4. ^ Lynch, Shana (2021). "Peter Norvig: Today's Most Pressing Questions in AI Are Human-Centered". stanford.edu. Stanford University.
  5. ^ "Peter Norvig's home page". Norvig.com. Retrieved 2020-04-01.
  6. ^ Peter Norvig at DBLP Bibliography Server Edit this at Wikidata
  7. ^ "1464 Schools Worldwide That Have Adopted AIMA". aima.cs.berkeley.edu. Retrieved 2020-02-09.
  8. ^ a b c d Halevy, Alon; Norvig, P.; Pereira, Fernando (2009). Brannon, Brian (ed.). "The Unreasonable Effectiveness of Data" (PDF). IEEE Intelligent Systems. 24 (2): 8–12. doi:10.1109/MIS.2009.36. S2CID 14300215. Retrieved 21 September 2022.
  9. ^ a b Russell, Stuart J.; Norviq, Peter (2020) [1995]. Artificial Intelligence: A Modern Approach (4 ed.). Prentice Hall. p. 1136. ISBN 0-13-461099-7. OCLC 359890490.
  10. ^ Michel, J. -B.; Shen, Y. K.; Aiden, A. P.; Veres, A.; Gray, M. K.; Google Books Team; Pickett, D.; Hoiberg, D.; Clancy, P.; Norvig, J.; Orwant, S.; Pinker, M. A.; Nowak, E. L.; Aiden, E. L. (2011). "Quantitative Analysis of Culture Using Millions of Digitized Books" (PDF). Science. 331 (6014): 176–182. Bibcode:2011Sci...331..176M. doi:10.1126/science.1199644. PMC 3279742. PMID 21163965.
  11. ^ Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, ISBN 0-13-790395-2
  12. ^ Norvig, Peter (1992), Paradigms of artificial intelligence programming: case studies in common LISP, Amsterdam: Morgan Kaufmann Publishers, ISBN 1-55860-191-0
  13. ^ "Intelligent Help Systems for Unix"
  14. ^ "Singularity University list of Faculty and Advisors". Singularityu.org. Archived from the original on 2009-10-13. Retrieved 2009-10-08.
  15. ^ "Intro to AI - Introduction to Artificial Intelligence - Oct-Dec 2011". Ai-class.com. Archived from the original on 2012-10-17. Retrieved 2012-02-05.
  16. ^ Naughton, John (2012-02-05). "Welcome to the desktop degree | Technology | The Observer". The Guardian. Retrieved 2012-02-05.
  17. ^ "Udacity - Design of Computer Programs". Udacity.com. Archived from the original on 2012-04-13. Retrieved 2012-10-26.
  18. ^ "A classroom with 100 000 students". June 2012.
  19. ^ a b "Teach Yourself Programming in Ten Years". Norvig.com. Retrieved 2017-06-06.
  20. ^ "The Gettysburg Powerpoint Presentation". Norvig.com. Retrieved 2012-10-26.
  21. ^ Norvig, P. (2003). "PowerPoint: Shot with its own bullets". The Lancet. 362 (9381): 343–344. doi:10.1016/S0140-6736(03)14056-1. PMID 12907004. S2CID 34835018.
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