Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
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. © 1957-2012 IBM.
Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
Robert G. Farrell, Catalina M. Danis, et al.
RecSys 2012
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
S.M. Sadjadi, S. Chen, et al.
TAPIA 2009