Artificial Intelligence Conference San Francisco 43/114

Artificial Intelligence Conference San Francisco 43/114

Bruce Horn
Intel Fellow and Chief Technical Officer , Intel ®Saffron™ Cognitive Solutions Group, Intel Corporation

Bruce Horn is an Intel Fellow and Chief Technical Officer for the Intel ®Saffron™ Cognitive Solutions Group, at Intel Corporation. He is responsible for driving new applications and uses for Intel Saffron’s memory-based reasoning system, a fundamentally new approach in the development of intelligent devices and systems. Previously at Intel, he built a team to develop advanced conversational interfaces; that team provided the spoken language technology and mobile application for the Oakley Radar Pace running and cycling coach.

Previous to joining Intel, Dr. Horn was Principal Research Software Development Engineer at Microsoft Corp. where he worked on the creation and deployment of Natural Language systems for Bing, Microsoft’s search engine. Before joining Microsoft, he was at Powerset Inc. where he was responsible for the computational infrastructure of the Powerset Natural Language Search System.

Horn is most widely known for his work at Apple, where he created and developed the Macintosh Finder – the first widely-used desktop graphical user interface, among other components of the MacOS. He began his career as a member of the Learning Research Group at the Xerox Palo Alto Research Center, where he contributed to several implementations of the Smalltalk virtual machine.

Horn earned a B.S. In Mathematical Sciences from Stanford University in 1981, and an M.S. And Ph.D. In Computer Science from Carnegie-Mellon University in 1994.


11:55am–12:35pm Tuesday, September 19, 2017
Why Complementary Learning is the Future of AI (sponsored by Intel Saffron)
Location: Franciscan CD
Bruce Horn (Intel ®Saffron™ Cognitive Solutions Group, Intel Corporation)
Growing interest in Complementary Learning Systems casts more traditional statistical learning as appropriate to the slow learning of patterns that are global, homogenous and stable. In complement, the Intel® Saffron™ Cognitive approach is fast with one-shot learning using associative and episodic memories–more appropriate for individual and dynamic patterns.