Peter Norvig

Peter Norvig

Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes. He is a fellow of the AAAI, ACM, California Academy of Science and American Academy of Arts & Sciences.
Authored Publications
Google Publications
Other Publications
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    Preview abstract Machine learning now powers a huge range of applications, from speech recognition systems to search engines, self-driving cars, and prison sentencing systems. Many applications that were once designed and programmed by humans now combine human-written components with behaviors learned from data. This shift presents new challenges to computer science (CS) practitioners and educators. In this article, we consider how the rising importance of machine learning might change what we consider to be core computer science knowledge and skills, and how this should impact the design of both machine learning courses and the broader CS university curriculum. View details
    Google's Hybrid Approach to Research
    Alfred Spector
    Slav Petrov
    Communications of the ACM, 55 Issue 7(2012), pp. 34-37
    Preview abstract In this viewpoint, we describe how we organize computer science research at Google. We focus on how we integrate research and development and discuss the benefits and risks of our approach. View details
    Quantitative Analysis of Culture Using Millions of Digitized Books
    Jean-Baptiste Michel
    Yuan Kui Shen
    Aviva Presser Aiden
    Adrian Veres
    Matthew K. Gray
    The Google Books Team
    Joseph P. Pickett
    Dale Holberg
    Dan Clancy
    Steven Pinker
    Martin A. Nowak
    Erez Lieberman Aiden
    Science(2010)
    Preview abstract We constructed a corpus of digitized texts containing about 4% of all books ever printed. Analysis of this corpus enables us to investigate cultural trends quantitatively. We survey the vast terrain of ‘culturomics,’ focusing on linguistic and cultural phenomena that were reflected in the English language between 1800 and 2000. We show how this approach can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology, the pursuit of fame, censorship, and historical epidemiology. Culturomics extends the boundaries of rigorous quantitative inquiry to a wide array of new phenomena spanning the social sciences and the humanities. View details
    The Unreasonable Effectiveness of Data
    Alon Halevy
    IEEE Intelligent Systems, 24(2009), pp. 8-12
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    Artificial Intelligence: A Modern Approach
    Stuart Russell
    Prentice Hall Press, Upper Saddle River, NJ, USA(2009)
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    Suggesting email view filters for triage and search
    Mark Dredze
    IJCAI'09: Proceedings of the 21st International Joint Conference on Artifical intelligence, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA(2009), pp. 1414-1419
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    Inference in Text Understanding
    AAAI Spring Symposium on Machine Reading(2007)
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    Special Review Issue
    Donald Perlis
    Artif. Intell., 169(2005), pp. 103-212
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    Internet Searching
    Computer Science: Reflections on the Field, Reflections from the Field, Computer Science and Telecommunications Board of the National Academies(2004)
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    PowerPoint: Shot with its own bullets
    The Lancet, 362(9381)(2003), pp. 343-344
    Preview abstract Imagine a world with almost no pronouns or punctuation. A world where any complex thought must be broken into seven-word chunks, with colourful blobs between them. It sounds like the futuristic dystopia of Kurt Vonnegut's short story Harrison Bergeron, in which intelligent citizens receive ear-splitting broadcasts over headsets so that they cannot gain an unfair advantage over their less intelligent peers. But this world is no fiction—it is the present-day reality of a PowerPoint presentation, a reality that is repeated an estimated 30 million times a day. View details
    A Retrospective on "Paradigms of AI Programming"
    Vivek (A Quarterly in Artificial Intelligence), 15(2003)
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    Computers, Use Of
    Encyclopedia of Space Sciences: Macmillan Science Library(2002)
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    Intelligent Help Systems for UNIX
    Stephen J. Hegner
    Paul McKevitt
    Robert Wilensky
    Springer(2001)
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    Jscheme: A Dialect of Scheme for Scripting in Java,
    Ken Anderson
    Tim Hickey
    Proceedings of the MIT Dynamic Languages Seminar(2001)
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    Virtual database technology: Transforming the Internet into a Database
    Anand Rajaraman
    IEEE Internet Computing, 2(1998), pp. 55-58
    A Modern, Agent-Oriented Approach to Introductory Artificial Intelligence
    Stuart J. Russell
    SIGART Bulletin, 6(1995), pp. 24-26
    Verbmobil: A Translation System for Face-to-Face Dialog
    Martin Kay
    Mark Gawron
    CSLI Press(1994)
    Review of Text-Based Intelligent Systems
    Paul Jacobs
    Artif. Intell., 66(1994), pp. 181-188
    Preview abstract A review of the book by Paul Jacobs. View details
    Correcting a Widespread Error in Unification Algorithms
    Softw., Pract. Exper., 21(1991), pp. 231-233
    A Critical Evaluation of Commensurable Abduction Models for Semantic Interpretation
    Robert Wilensky
    COLING(1990), pp. 225-230
    Marker Passing as a Weak Method for Text Inferencing
    Cognitive Science, 13(1989), pp. 569-620
    Inference in Text Understanding
    AAAI(1987), pp. 561-565
    G. Lakoff, M. Johnson, Metaphors We Live By
    Artif. Intell., 27(1985), pp. 357-361
    Preview abstract A review of the book by Lakoff and Johnson. View details
    Frame Activated Inferences in a Story Understanding Program
    IJCAI(1983), pp. 624-626
    Six Problems for Story Understanders
    AAAI(1983), pp. 284-287