Bruce Horn

Learning Interfaces

Description

Most attention has been paid to the recent and impressive achievements of deep-learning systems that require extensive data and computation for training. Other approaches to artificial intelligence, including associative memory and Bayesian statistics, can deliver contextual reasoning with far fewer resources needed.

Interfaces that learn the user’s behaviors, preferences, and workflows over time can dramatically improve the subjective experience of using such a system. By delivering a personalized user experience that anticipates the needs of the user we can move away from a “one-size-fits-all” approach and instead create dynamic user experiences that are a better match for each individual’s way of working.


Date: Thursday, October 17th
Time: 13:15 - 14:00
Location: Hall 11

Speaker

Bruce Horn

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. 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.