This paper appears in:
IBM Journal of Research and Development
Date of Publication:
May-June 2012
Author(s):
Epstein, E. A.
IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA
Schor, M. I.
;
Iyer, B. S.
;
Lally, A.
;
Brown, E. W.
;
Cwiklik, J.
Volume: 56,
Issue: 3.4
On Page(s):
15:1
-
15:12
Product Type:
Journals & Magazines
Abstract
IBM Watson™ is a system created to demonstrate DeepQA technology by competing against human champions in a question-answering game designed for people. The DeepQA architecture was designed to be massively parallel, with an expectation that low latency response times could be achieved by doing parallel computation on many computers. This paper describes how a large set of deep natural-language processing programs were integrated into a single application, scaled out across thousands of central processing unit cores, and optimized to run fast enough to compete in live Jeopardy!™ games.
Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.
Index Terms
Index Terms are available to subscribers and IEEE members.
ISSN : 0018-8646
Digital Object Identifier : 10.1147/JRD.2012.2188761
Date of Current Version :
Tue Apr 03 00:00:00 EDT 2012
Issue Date :
May-June 2012
Sponsored by :
IBM
Available to subscribers and IEEE members.
Available to subscribers and IEEE members.
