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.
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.
You can also see other highlights from the event.
