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Unleashing the potential of Machine Learning to Address Spatial Reuse in Future IEEE 802.11 WLANs: An introduction to two problem statements for the ITU AI Challenge - Shared screen with speaker view
Thomas Basikolo (ITU)
39:14
Thank you everyone for joining today's webinar. Please use the Q&A window if you have questions
Thomas Basikolo (ITU)
39:17
Challenge Website: https://aiforgood.itu.int/ai-ml-in-5g-challenge/Today’s event page: https://aiforgood.itu.int/events/unleashing-the-potential-of-machine-learning-to-address-spatial-reuse-in-future-ieee-802-11-wlans/Next event/webinar: https://aiforgood.itu.int/events/towards-cognitive-autonomous-networks-5g-and-beyond/Join our Slack Channel to keep updatedhttps://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA
Rúben Queirós
01:05:28
How do you address the processing time of these Machine learning models, in the deployment phase, since these wireless scenarios have their environment conditions extremely volatile.