Daniel G. Bobrow is a Research Fellow at PARC. He has also been President of the American Association for Artificial Intelligence (AAAI), Editor-in-chief of the journal Artificial Intelligence, recipient of the ACM Software Systems Award, and a fellow of both the ACM and AAAI.
Danny was a lead in the PARC-Xerox Eureka project, one of the most successful fielded examples of a community knowledge sharing system. Eureka supports 20,000 Xerox service technicians in capturing, validating, and sharing their experience, with a current knowledge base of over 90,000 tips. Prior to that, Danny wrote one of the first MIT doctoral theses in Artificial Intelligence on natural language question answering, and is currently working on a natural language-based, broad-coverage system for question answering. An earlier version of this technology was the basis for a successful PARC enabled spin-out. Bobrow is also exploring how encoded knowledge of a domain can lead to deeper understanding of texts, and how texts can be used as the basis for a machine to learn new skills from reading texts. Danny has over 100 published papers, books, and issued patents.
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Silicon Valley tech innovator PARC celebrates 40th anniversary
29 September 2010 | LA Times
PARC celebrates its 40 years of Silicon Valley innovation
23 September 2010 | CNET News
Why machines do not understand human speech
9 April 2010 | BBC News
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Towards a Mobile and Wearable System for Predicting Panic Attacks
7 September 2015
A Simulation and Modeling based Reliability Requirement Assessment Methodology
17 August 2014 | Buffalo, NY