ITU AI/ML in 5G Challenge: DNN Inference Optimization Challenge
- Shared screen with speaker view
Thomas Basikolo (ITU)
31:10
Geneva, Switzerland
Vishnu Ram
31:19
Bangalore, India
Ashwini Sathnur
31:25
Ashwini Sathnur from Bangalore India
Liya Yuan
31:36
China
Ashwini Sathnur
35:03
yes
Vishnu Ram
36:07
Please use Q&A Button for questions.
Vishnu Ram
52:10
Registration for the challenge: https://www.itu.int/net4/CRM/xreg/web/Registration.aspx?Event=C-00007607And Select ITU-ML5G-PS-018 from https://forms.office.com/Pages/ResponsePage.aspx?id=12TkI-YEh0uRPCS9iSGf0-yqkfLCoQ9IpTbc_XELf95UQktPNFRSRFFCTU1QNEtSVUpXMUVWWVlPSy4u
Thomas Basikolo (ITU)
01:11:04
Next Webinar: Radio Link Failure Prediction ChallengeRegistration Link: https://itu.zoom.us/webinar/register/WN_08HAeThfSW6JvrqRJSte-Q
abhay sapru
01:11:42
it looks like a feedback model,kind of RNN,RL... in case of radio if we talk about if I want put in RRU which I need to optimise the network,the rf values,rssi values can vary drastically could be based on weather condition los bloack etc and pruning might go into infinite loop.
Ashwini Sathnur
01:21:31
thank you very much!
Vishnu Ram
01:22:01
Slack link: https://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA