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Meeting Info

AI/ML Framework meetings are open to the public and held on Tuesdays at noon UTC.  World Time Zone Map

Zoom 1 Info:

UTC-timeTuesday 12:00

https://zoom.us/j/9644759813

Seoul (KST / UTC+9)Tuesday 21:00TODO
Delhi (IST / UTC+5:30)Tuesday 17:30TODO
New York (EDT / UTC-4 during DST (-5 in the winter))Tuesday 08:00+1 669 900 6833 // +1 646 558 8656 // 855 880 1246 (Toll Free) // 877 369 0926 (Toll Free)
Paris (CEST / UTC+1 in the winter (+2 during DST))Tuesday 14:00+33 7 5678 4048 // +33 1 8288 0188 // 805 082 588 (Toll Free)
Beijing (CST / UTC+8)Tuesday 20:00+86 10 87833177 // +86 10 53876330 // 400 616 8835 (Toll Free) // 400 669 9381 (Toll Free)
Tokyo (JST / UTC+9) Tuesday 21:00+81 524 564 439 // +81 3 4578 1488 // 0 800 100 5040 (Toll Free)
Helsinki  (EEST / UTC+2 in the winter (+3 during DST))Tuesday 15:00

+358 341092129

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International numbers available: https://zoom.us/u/acyy3hylQi

All meeting notes

2022-09-06 (Tuesday)

Recording Link:

  1. Greetings
  2. The First sprint will start at 12th -  O-RAN SC's dev sprint2 begins on 12th and ends on 30th Sep.(Releases - Releases - Confluence (o-ran-sc.org)
  3. Jira Task creation is in progress. For seed code contribution, we will use a temporal epic name as 'seed code', after that I will bring the names for next features. 
  4. G release 
    1. G Release
      1. G Feature Scope / Achievements:

        • Stand-alone installation with Kubeflow as a Training host backend and Kserve as an Inference host backend
        • Manual Deployment of ML rApp and ML xApp
        • Initial Training Job Management (Data extraction / feature management)
        • Sample ML pipeline and ML xApp: QoE Prediction model using LSTM with data from ricapp/qp) => will bring this issue as a discussion point to RICAPP project
  5. Introduction of the project
    1. Architecture Flow for Initial Seed Code Contribution
    2. Initial Repositories 
  6. Discussion with projects
    1. MVP contribution related to AIML workflow
    2. EMCO framework
  7. CII badging
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