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