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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Panic button: How wearable tech and VR are tackling the problem of panic attacks
3 December 2015 | Wareable
The Future of Work Show, Episode 7: Inside PARC (video)
28 October 2015 | Forbes.com
Silicon Valley tech innovator PARC celebrates 40th anniversary
29 September 2010 | LA Times
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Time, Frequency & Complexity Analysis for Recognizing Panic States from Physiologic Time-Series
16 May 2016 | Cancun, CA, Mexico