Will Robotics (as we know it) survive the Machine Learning Invasion?

Machine learning models have crushed states of the art in nearly every field, from NLP to prank calling friends, leaving a graveyard of infamous--and now impotent--classic algorithms. Perfectly and repeatedly exemplified in the “race” for self-driving, this increased reliance on oft-opaque neural networks has seemingly retired a number of hallmark robotics approaches. Why bother using (or even learning) RANSAC or Dijkstra when you can just “let the model handle it”?

Drawing from experience in the trenches at Tesla Autopilot and (recently-joined) Wayve, Joe Polin will offer insights about the current and future role of robotics in autonomous cars. Some experience in ML will be useful for this talk.

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