AAIEA 2019
Accelerating AI for Embedded Autonomy

Workshop program

9:00 - 9:15
Introduction to the workshop
Workshop organizers
9:15 - 10:00
Edge Intelligence: Bringing Autonomy to IoT Devices
Ali Keshavarzi
Adjunct Professor, Electrical Engineering, Stanford University
10:00 - 10:30
Coffee break
10:30 - 11:00
The system implications of neural recommendation at scale
Brandon Reagen, Facebook
11:00 - 11:30
Unique Challenges of VTOL Autonomy
Igor Cherepinsky
Director, Autonomy Programs, Sikorsky Aircraft
11:30 - 12:00
Geoff Shapiro
Associate Director, Collins Aerospace Program Office, UTRC
12:00 - 13:30
Lunch
13:30 - 14:00
Analog Memory Hardware Accelerators for Deep Learning
Charles Mackin
IBM Research, Almaden
14:00 - 14:30
Accelerating for Multi-Robot SLAM on FPGA platforms: Visual Odometry and Place Recognition
Lincheng Yu
Tsinghua University, Beijing, China
14:30 - 15:00
Neuromorphic Computing: A Step Towards Energy-Efficient Machine Learning
Anup Das
Drexel University
15:00 - 15:30
Coffee Break
15:30 - 17:00
Panel Discussion
Enabling the Future of Embedded AI