AI for networking, and networking for AI

Speakers:
Kyunghan Lee - Seoul National University
Michael Schapira - Hebrew University of Jerusalem
Ness Shroff - Ohio State University
Noa Zilberman - Oxford University
Organizers:
Christophe Diot - Principal Engineer at Network Operations team, Google
Jim Kurose - Professor of College of Information and Computer Sciences at the University of Massachusetts Amherst
The use of AI/ML techniques in networking has generated a lot of excitement and recent research. This panel will bring together researchers working at the AI/networking boundary to reflect on the problems and types of problems that can be successfully addressed by AI/ML techniques. The panelists will discuss areas where AI/ML may offer particularly fruitful opportunities, and the characteristics (timescales, available data, intra-versus-inter network, layers in the protocol stack, management?) of these areas, and what special networking support (if any) is needed for platforms supporting such uses of AI/ML in networking.