Speakers: Larry Jackel and Urs Muller of NVIDIA
Host: Man-Ki Yoon
Title: Machine Learning for Autonomous Driving
Abstract:
The NVIDIA New Jersey office is located at Bell Works in Holmdel, the former Bell Labs location where pioneering deep learning work took place from the mid 80s to the mid 90s and where the first industrial deep learning product was developed, a commercial handwritten check-reading system.
The first part of this presentation will provide a recap of that early Bell Labs work and findings. The second part will focus on today’s NVIDIA work in Holmdel on applying learning to the hard, unsolved problems in autonomous driving.
The current work started in the Spring of 2015 with a small core team. By March 2016 the team demonstrated a complete learned driving application on local roads and highways. Since then the team has grown and the capabilities of our on-road driving system have expanded. In addition, a simulator has been built that faithfully reproduces real vehicle behavior, allowing system testing before a real vehicle goes on the road.
Bios:
Larry Jackel is President of North-C Technologies, where he does professional consulting. From 2003-2007 he was a DARPA Program Manager in the IPTO and TTO offices. He conceived and managed programs in Universal Network-Based Document Storage and in Autonomous Ground Robot navigation and Locomotion. For most of his scientific career Jackel was a manager and researcher in Bell Labs and then AT&T Labs. He has created and managed research groups in Microscience and Microfabrication, in Machine Learning and Pattern Recognition, and in Carrier-Scale Telecom Services. Jackel holds a PhD in Experimental Physics from Cornell University with a thesis in superconducting electronics. He is a Fellow of the American Physical Society and the IEEE.
Urs Muller joined NVIDIA in 2015 to build and lead the autonomous driving team in Holmdel, New Jersey. The team focuses on new learning-based robust solutions for self-driving cars. Previously, Muller worked at Bell Labs and later founded Net-Scale Technologies, Inc., a prime contractor for several DARPA robotics and deep learning programs.
There will be a group meeting (for Q&A, Discussion) with the speakers for students after the seminar.