IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v544y2017i7651d10.1038_544413a.html
   My bibliography  Save this article

Artificial Intelligence: Chess match of the century

Author

Listed:
  • Demis Hassabis

    (Demis Hassabis is the founder and chief executive of DeepMind, a neuroscience-inspired AI company based in London.)

Abstract

Demis Hassabis lauds Garry Kasparov's account of battling supercomputer Deep Blue.

Suggested Citation

  • Demis Hassabis, 2017. "Artificial Intelligence: Chess match of the century," Nature, Nature, vol. 544(7651), pages 413-414, April.
    • Handle: RePEc:nat:nature:v:544:y:2017:i:7651:d:10.1038_544413a
    DOI: 10.1038/544413a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/544413a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/544413a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Niccolo Pescetelli, 2021. "A Brief Taxonomy of Hybrid Intelligence," Forecasting, MDPI, vol. 3(3), pages 1-11, September.
    2. Frevel, Nicolas & Beiderbeck, Daniel & Schmidt, Sascha L., 2022. "The impact of technology on sports – A prospective study," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Pikos, Anna Katharina, 2017. "The causal effect of multitasking on work-related mental health - the more you do, the worse you feel," Hannover Economic Papers (HEP) dp-609, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. K. Vela Velupillai, 2021. "Proofs and Predictions in Human Problem Solving," Computational Economics, Springer;Society for Computational Economics, vol. 57(3), pages 935-947, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:544:y:2017:i:7651:d:10.1038_544413a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.