Speaker Eric Horvitz
Affiliation Microsoft Research
Date recorded 25 October 2012
Representations of probability and utility lay at the heart of a two-decade rolling revolution in machine learning and 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 study and refinement of principles, fielding real-world systems is critical for testing the sufficiency of algorithms and implications of assumptions—and exploring the human dimension of computational solutions and services.
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