Learning, Action, and Intelligence in the Open World

Wednesday, May 30, 2012 - 11:30am


FRIDAY, JUNE 1, 2012
10:30 AM – 11:00 AM Reception
11:00 AM – 12:00 PM Talk
Engineering Sciences Building, Room 1001

HOST: Matthew Turk

SPEAKER: Eric Horvitz
Microsoft Research

Title: Learning, Action, and Intelligence in the Open World


Representations of probability and utility lay at the heart of a
two-decade rolling revolution in artificial intelligence. A confluence
of advances has led to an inflection in our ability to collect, store,
and harness large amounts of data for generating insights and guiding
decision making in the open world. Beyond the core goal of providing
valuable services, fielding systems is critical for testing the
sufficiency of existing algorithms and models, and often frames new
directions for research. I will discuss efforts on learning and
inference in the open world, highlighting key ideas in the context of
projects in transportation, energy, and healthcare. Finally, I will
discuss opportunities for creating systems with new kinds of
competencies by weaving together multiple data sources and models.


Eric Horvitz is a Distinguished Scientist at Microsoft Research. His
interests span theoretical and practical challenges with developing
systems that perceive, learn, and reason. He has been elected a Fellow
of the Association for the Advancement of Artificial Intelligence (AAAI)
and of the American Academy of Arts and Sciences. He serves on the NSF
Computer & Information Science & Engineering (CISE) Advisory Board and
on the council of the Computing Community Consortium (CCC). He received
his PhD and MD degrees at Stanford University. More information can be
found at http://research.microsoft.com/~horvitz.

Sponsored by Google.