Deep Learning for Self Driving

January 14, 2020 @ 12:00 pm – 1:00 pm
LAS 3033, Lassonde Building, York University
Yaser Kerachian

TECH & TACOS Edition!

Inmar Givoni, Ph.D.
Senior Autonomy Engineering Manager, Uber Advanced Technology Group

At the Uber ATG R&D centre, we are working on advanced state-of-the-art machine learning models for solving a large range of problems in self driving - perception and prediction, motion planning, mapping and localization, sensor simulation, and more. All that work is publicly available through academic conferences and venues. In this talk I will cover some exciting recent advances and also discuss the path to production - how we go from research prototypes to deployed systems on vehicle.

Inmar Givoni is a Senior Autonomy Engineering Manager at Uber Advanced Technology Group, Toronto, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her PhD (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research, Altera (now Intel), Kobo, and Kindred at roles ranging from research scientist to VP, Big Data, applying machine learning techniques to various problem domains and taking concepts from research to production systems.

Lunch is provided.
Registration is required. Please register here.