Toward learned algorithms, data structures, and systems

Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications.

By Tim Kraska
July 8, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in Beijing 2019. Watch the full version of this keynote on the O’Reilly online learning platform.

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Post topics: AI & ML
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