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CITRIS Distinguished Lecture on Intelligent Infrastructure Systems

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Uploaded on Nov 19, 2009

Learning, Reasoning, and Intelligence in the Open World: From Principles to Practice
Dr. Eric Horvitz Principal Researcher & Research Area Manager, Microsoft Research

Abstract:
Systems that learn and reason from streams of data promise to provide extraordinary value to people and society. I will discuss directions with harnessing machine perception, learning, and inference in the open world, highlighting key ideas in the context of projects in transportation, energy, healthcare, and communications. After reviewing efforts in several realms, I will reflect on directions regarding the capture and use of data in accordance with the preferences of people about their privacy.

Bio:
Eric Horvitz is a Principal Researcher at Microsoft Research. His interests span theoretical and practical challenges with developing systems that sense, learn, and reason. His contributions include advances in principles of learning and decision making, and the development and fielding of applications in transportation, healthcare, aerospace, information retrieval, and ecommerce. Eric is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and has served as President of the organization. He has also served on the NSF CISE Advisory Board, the DARPA Information Science and Technology Study Group (ISAT), the Naval Research Advisory Committee (NRAC), and the Carnegie-Mellon University Machine Learning Advisory Board. Eric received his PhD and MD degrees at Stanford University. More information can be found at: http://research.microsoft.com/~horvitz

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