The Workshop on Accelerating Artificial Intelligence for Embedded Autonomy aims at gathering researchers and practitioners in the fields of autonomy, automated reasoning, planning algorithms, and embedded systems to discuss the development of novel hardware and software architectures that can accelerate the wide variety of AI algorithms demanded by advanced autonomous and intelligent systems.
Preliminary 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
- Call for papers
- Technical Program Committee
- Venue : Embedded Systems Week, New York City, NY, October 17 2019