ITU AI/ML in 5G Challenge: Channel Estimation – Machine Learning Applied to the Physical Layer of Millimeter – Wave MIMO Systems
- Shared screen with speaker view

23:24
Geneva, Switzerland

23:30
Bangalore- India.

23:31
Tunisia, North Africa

23:32
Berlin, Germany

23:37
Aalborg, Denmark

23:50
Gurgaon- India

26:59
Presentation slides are in https://www.itu.int/en/ITU-T/AI/challenge/2020/Documents/ITU%20AI_ML%20Challenge%20-%20ML5GPHY-channel%20estimation.pdf

27:31
Please use the Q&A Button for questions.

28:51
If you mean recording, yes. It will be uploaded in the ITU Challenge website.

30:26
Recording will be uploaded in our website https://www.itu.int/en/ITU-T/AI/challenge/2020/Pages/default.aspx

01:18:31
Today’s presentation page:https://aiforgood.itu.int/events/channel-estimation-machine-learning-applied-to-the-physical-layer-of-millimeter-wave-mimo-systems/Next presentation:https://aiforgood.itu.int/events/itu-ai-ml-in-5g-challenge-improving-the-capacity-of-ieee-802-11-wlans-through-machine-learning/

01:18:53
Slack

01:18:55
https://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA\

01:19:24
Register for the ITU challenge here: https://www.itu.int/net4/CRM/xreg/web/Registration.aspx?Event=C-00007607select problem statement here:https://forms.office.com/Pages/ResponsePage.aspx?id=12TkI-YEh0uRPCS9iSGf0-yqkfLCoQ9IpTbc_XELf95UQktPNFRSRFFCTU1QNEtSVUpXMUVWWVlPSy4u

01:19:30
Register for the ITU challenge here: https://www.itu.int/net4/CRM/xreg/web/Registration.aspx?Event=C-00007607select problem statement here:https://forms.office.com/Pages/ResponsePage.aspx?id=12TkI-YEh0uRPCS9iSGf0-yqkfLCoQ9IpTbc_XELf95UQktPNFRSRFFCTU1QNEtSVUpXMUVWWVlPSy4u