Tuesday, October 20, 2020 from 1:45 p.m. – 2:55 p.m. EST
The demand for faster data rates and ultra-low latency are the main drivers for emerging wireless standards and 5G communications. In the near future, bleeding-edge applications like shared VR experiences and self-driving cars, will rely on the ubiquity and real-time reconfigurability of high-speed wireless links. Today, the wireless channel and surrounding environment changes rapidly, and the current state-of-the-art wireless protocol design was not developed to support or optimize the variety and scale of future applications.
Acknowledging that wireless inflexibility will severely hamper the widespread deployment of next-generation wireless networks due to inter-protocol interference, AI and machine learning algorithms offer valuable clues in addressing wireless inference problems. This panel will explore the role of AI/ML in 6G technologies as well as the key enablers that support AI/ML in wireless.
Moderator: Kaushik Chowdhury, Professor, Northeastern University
- Tim O’Shea, CTO, DeepSig/ Virginia Tech
- Adam Thompson, Senior Solutions Architect, Nvidia
- John Davies, Program Manager, DARPA
- Danijela Cabric, Professor, UCLA
- John Kaewell, Senior Principal, InterDigital