Short Description

60m, Rohit Singh Rathaur Sridhar Rao 

In this session we will share our findings on the State of AI/ML in Networking. The findings are outcome of a systematic survey on AI/ML specific to Networking usecases. The existing problems are solutions are divided into 5 main categories (Analysis, Detection, Prediction, Combination Problems and Generation). In each categories there are 4 sub-categories, resulting in 20 sub-categories. We will summarize the state of each of these problem categories/sub-categories. The session will also include demo of some of the important works in this domain, under different categories.

Topic Overview

Session Type

x

Interactive technical presentation and/or capability demo


Pre-Recorded technical presentation and/or capability demo


Live / hands-on technical training


Community process, governance or collaboration development


Real-time troubleshooting, bug-scrub or similar

Other (please describe)

Slides & Recording

YouTube

Following the event session recordings may be uploaded to our YouTube Channel at the full discretion of LFN staff.

AI-ML for Networking.mp4

Notes From Session (as appropriate)

Action Items (as appropriate)