Japan Challenge (Network failure detection & Location estimation) and advances in Machine Learning for wireless communications
- Shared screen with speaker view

32:55
Hi All

33:31
Hi Vishnu!

34:05
I just screen capture the background

34:16
So that we can use that in our background

34:26
as Thomas does

35:48
Thank you Nakao sensei, I will use it.

37:21
Thanks Thomas

37:31
Adachi sensei, Thomas’s much better

39:15
Will use better resolution ne

39:23
one :-)

39:36
great. Thank you Adachi-sensei, Otani-san and Yamamoto-sensei!

39:46
https://challenge.aiforgood.itu.int/match

42:31
https://challenge.aiforgood.itu.int/match/matchitem/58

44:42
Why can not we use LiFi as the most accurate LBS for IBS coverage?

46:24
Thank you for joining us for this Challenge webinar.Please feel free to ask brief questions in the Q&A tab and use the chat function to message "all panelists and attendees". You can select this option just above the message box.

47:04
Registration:The Challenge registration is open until 31 August, 2021: https://challenge.aiforgood.itu.int/Select problem statements: You can select problem statements here: https://challenge.aiforgood.itu.int/matchAlternatively : https://2ja3zj1n4vsz2sq9zh82y3wi-wpengine.netdna-ssl.com/wp-content/uploads/2020/12/Problem_statements_2021_v03-tb.pdfChallenge Website: https://aiforgood.itu.int/ai-ml-in-5g-challenge/Today’s event page: https://aiforgood.itu.int/event/japan-challenge-network-failure-detection-location-estimation-and-advances-in-machine-learning-for-wireless-communications/Join our Slack Channel to keep updatedhttps://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA

52:55
Thank you Adachi-sensei!

01:06:05
https://challenge.aiforgood.itu.int/match/matchitem/57

01:38:27
Fukumoto-sensei

01:38:29
https://colab.research.google.com/drive/18l9LC6Uy9DiihdaBYc6wR_ilgAKbd2es?usp=sharing

01:39:04
In QA session, I will give an answer to the question: “democratization of telecomu is very interesting. Could you in the Q&A session explain a few details, like the costs of such a license and the process to obtain it?

01:39:31
After Yamamoto-sensei’s talk, can you give me time to answer this?

01:40:07
I’m sorry but I need to excuse myself from the meeting as I have another meeting.

01:40:35
Thank you Adachi sensei. Thank you for your joining

01:40:36
Certainly, Naka-sensei.

01:41:14
Questions for Otani-san:1) how are the submissions evaluated?

01:41:35
We can have a Q&A session

01:41:49
To answer Vishnu’s question too

01:42:08
Questions for Nakao-sensei:*) what are the use cases for local 6g? (FG AN studied various use case for AN).

01:42:29
WIll the presentation slidez be distributed to the audience ?

01:42:52
This is a great question. I love to answer

01:44:21
OK, now we have some questions for Naka-sensei, Otani-san, and Yamamoto-sense. We’ll have time to answer them.

01:50:13
https://colab.research.google.com/drive/1QkAA89UypK4rqTKiPtR3MkGU52TlgzMl?usp=sharing

01:55:39
Question for Yamamoto-sensei - In part-1, what is the role played by the position of the camera? In part-2, can we use Deep RL to scale this solution to large number of base stations?

02:13:12
Thank you! excellent points

02:16:48
Excellent webinar!

02:18:07
https://challenge.aiforgood.itu.int/match/matchitem/58 and https://challenge.aiforgood.itu.int/match/matchitem/57

02:18:51
Thank you all!

02:19:33
Sorry I have to run for a meeting

02:19:36
See you all soon.

02:19:45
Thank you for all

02:19:48
thank you very much. We will work for our mission.

02:20:07
Thank you all for the participation. Excellent webinar and great problem statement!

02:20:34
Can we get Fukomoto-sensei to moderate all our other webinars also :-)

02:21:03
Hahaha