Schedule

08:15

REGISTRATION

09:00

WELCOME

Lex Fridman

Lex Fridman, MIT

Compere

AUTONOMOUS VEHICLES LANDSCAPE

09:15

Pratik Prabhanjan Brahma

Pratik Prabhanjan Brahma, Audi/VW Electronics Research Lab

Challenges & Directions for Applying Machine Learning in Autonomous Vehicles

09:40

Lex Fridman

Lex Fridman, MIT

Deep Learning for Self-Driving Cars

10:05

Charlie Tang

Charlie Tang, Apple

Deep Reinforcement Learning Advancements & Applications

10:45

COFFEE

COMMUNICATION & SIMULATION

11:25

Gaurav Kumar Singh

Gaurav Kumar Singh, Ford Motor Company

Gaming: Using Virtual World Data in Deep Learning Approaches for Autonomous Driving Research

11:55

Gaurav Bansal

Gaurav Bansal, Toyota InfoTechnology Center

Cooperative Automated Driving

12:25

LUNCH

THE HUMAN FACTOR

13:35

Joan Walker

Joan Walker, UC Berkeley

The Traffic Jam of Robots: Implications of Autonomous Vehicles on Trip-Making

14:00

Modar Alaoui

Modar Alaoui, Eyeris

Driver Monitoring For Connected Semi-autonomous Vehicles & The Future Of Automotive HMI

14:25

Patrick Lin

Patrick Lin, California Polytechnic State University

Ethics and Autonomous Vehicles: How AI Decisions Can Create New Risks

DATA & PREDICTIVE INTELLIGENCE

14:50

John Cordell

John Cordell, Xevo AI

AI, The Cloud, and Data: Building the Foundation of the Autonomous Vehicle

15:15

COFFEE

15:55

PANEL: How Can We Apply ML & Sensing Technologies to Accelerate The Autonomous Vehicle?

Ioannis Petousis

Ioannis Petousis, Renovo

Panelist

Sam Kherat

Sam Kherat, Bradley University

Panelist

Tim Higgins

Tim Higgins, Wall Street Journal

Moderator

16:35

Luca Rigazio

Luca Rigazio, Panasonic Silicon Valley Laboratory

Unsupervised Everything

17:00

CONVERSATION & DRINKS

*Please note the agenda is subject to change

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