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Software engineering of systems that learn in uncertain domains

Building reliable, robust software is hard. It is even harder when we move from deterministic domains, such as balancing a checkbook, to uncertain domains, such as recognizing speech or objects in an image.

By Peter Norvig September 26, 2016 • 1 minute read

A depiction of the world's oldest continually operating university, the University of Bologna, Italy. A depiction of the world's oldest continually operating university, the University of Bologna, Italy. (source: The Yorck Project on Wikimedia Commons)

This is a full keynote from the O’Reilly AI Conference in New York 2016. Watch more keynotes and session videos on Safari.

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Post topics: AI & ML