WebML WG Teleconference – 15 December 2022 - 15:00-16:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-12-15-wg-agenda.md



WebML WG Teleconference – 15 December 2022 - 15:00-16:00 UTC
San Francisco (U.S.A. - California)     Thu, 15 December 2022   07:00   UTC-8 hours
Boston (U.S.A. - Massachusetts) Thu, 15 December 2022   10:00   UTC-5 hours
London (United Kingdom - England)       Thu, 15 December 2022   15:00   UTC+0 hours (adjusted for DST)
Berlin (Germany)        Thu, 15 December 2022   16:00   UTC+1 hours (adjusted for DST)
Helsinki (Finland)      Thu, 15 December 2022   17:00   UTC+2 hours (adjusted for DST)
Shanghai (China)        Thu, 15 December 2022   23:00   UTC+8 hours (adjusted for DST)
Tokyo (Japan)   Fri, 15 December 2022   00:00   UTC+9 hours (adjusted for DST)
Corresponding UTC (GMT) Thu, 15 December 2022   15:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20221215T15


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-12-15-wg-agenda.md#logistics>Logistics

  *   Chair: Anssi
  *   Scribe: ? (see howto<https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md>, volunteers welcome!)
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

  *   IRC web client: https://irc.w3.org/?channels=#webmachinelearning

  *   Joining instructions: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2022/12/15-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-12-15-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn-api-candidate-recommendation-open-issues>ℹ️ WebNN API Candidate Recommendation open issues
Review and discuss the current CR issues, work out a plan to address the key issues prior to the expected CR publication. For WPT, we need to show how adequate implementation experience will be demonstrated. For WebIDL conventions, we need to demonstrate the spec is considered complete and fit for purpose.

  *   Current CR issues https://github.com/webmachinelearning/webnn/labels/cr


  *   Web platform tests

     *    tracker issue: webmachinelearning/webnn#265<https://github.com/webmachinelearning/webnn/issues/265>
     *   Open webnn-baseline PRs: https://github.com/webmachinelearning/webnn-baseline/pulls

     *   Open wpt PRs: https://github.com/web-platform-tests/wpt/labels/wg-s_webmachinelearning

     *   ➡️ Status: Discuss & resolve any blockers for webnn-baseline and WPT PRs
  *   Use modern WebIDL conventions

     *    tracker issue: webmachinelearning/webnn#210<https://github.com/webmachinelearning/webnn/issues/210>
     *   ➡️ Status: Continue editorial work required to add algorithmic method steps, add internal slots, use getters, setters, define methods and constructors using the modern WebIDL conventions. Focus is on editorial enhancements. Normative changes and new feature work is deferred for later.

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-12-15-wg-agenda.md#%E2%84%B9%EF%B8%8F-webml-wg-charter-2023-2025-proposal-ready-for-wg-review>ℹ️ WebML WG Charter 2023-2025 proposal ready for WG review
Web Machine Learning Working Group Charter for 2023-2025 is now ready for WG review. Please review the draft PR and open issues, provide your comments and open new issues as appropriate to help shape the WG's technical scope.

  *   Announcement https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/2022Oct/0002.html

  *   Charter PR w3c/machine-learning-charter#19<https://github.com/w3c/machine-learning-charter/pull/19>
  *   Open issues https://github.com/w3c/machine-learning-charter/issues

     *   OpenXLA coordination
     *   On-device training
     *   Features deferred to WebNN v2
     *   Dedicated ML hardware accelerators: NPU, VPU, xPU
     *   Set of ops supported must be more comprehensive
     *   Level of abstraction for neural net operations
     *   WebRTC coordination
     *   WebGPU interoperability