Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

   

Joint Colloquium Distinguished Lecture Series

People, Computing, and Intelligence

photo of Eric Horvitz Wednesday, February 7, 2007
306 Soda Hall (HP Auditorium)
4:00 - 5:00 pm

Eric Horvitz
Principal Researcher and Research Area Manager, Adaptive Systems & Interaction Group, Microsoft Research

Downloadable PDF

Abstract:

Technical and infrastructural developments are coming together to provide a nurturing environment for creating and fielding valuable machine learning and reasoning systems. I will review several illustrative research efforts that highlight challenges and directions with the streaming of machine intelligence into the daily lives of people. I will focus thematically on opportunities for harnessing machine learning to better understand people, and the critical role of methods for representing and reasoning about intentions, preferences, and initiative.

Biography:

Eric is a Principal Researcher and Research Area Manager at Microsoft Research. His interests span challenges in machine reasoning and learning, search and information retrieval, and human-computer interaction. He has been elected a Fellow and Councilor of the American Association for Artificial Intelligence (AAAI) and is incoming president of the organization. He has been active on multiple editorial boards, and has served as Chair of the Association for Uncertainty and Artificial Intelligence (AUAI), on the DARPA Information Science and Technology Study Group (ISAT), and on the Naval Research Advisory Committee (NRAC). He received his PhD and MD degrees at Stanford University.

More information can be found at: http://research.microsoft.com/~horvitz


  Return to EECS Joint Colloquium