WebML WG Teleconference – 21 April 2022 - 14:00-15:00 UTC+0

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md


WebML WG Teleconference – 21 April 2022 - 14:00-15:00 UTC+0
San Francisco (U.S.A. - California)     Thu, 21 April 2022      07:00   UTC-7 hours
Boston (U.S.A. - Massachusetts) Thu, 21 April 2022      10:00   UTC-4 hours
London (United Kingdom - England)       Thu, 21 April 2022      15:00   UTC+1 hours
Berlin (Germany)        Thu, 21 April 2022      16:00   UTC+2 hours
Helsinki (Finland)      Thu, 21 April 2022      17:00   UTC+3 hours
Shanghai (China)        Thu, 21 April 2022      22:00   UTC+8 hours
Tokyo (Japan)   Thu, 21 April 2022      23:00   UTC+9 hours
Corresponding UTC (GMT) Thu, 21 April 2022      14:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220421T14


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-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

  *   Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2022/04/21-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md#%E2%84%B9%EF%B8%8F-announcements>ℹ️ Announcements

  *   TPAC 2022 Hybrid meeting announcement https://lists.w3.org/Archives/Public/public-webmachinelearning/2022Apr/0003.html

  *   WebML and WebNN logos https://github.com/webmachinelearning/webmachinelearning.github.io/tree/main/logos


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md#%E2%84%B9%EF%B8%8F-proposed-new-use-cases>ℹ️ Proposed new use cases
Discuss and review the proposed new use cases.

  *    Performance Adaptation webmachinelearning/webnn#207<https://github.com/webmachinelearning/webnn/pull/207>
  *    Ethical Content Filtering webmachinelearning/webnn#253<https://github.com/webmachinelearning/webnn/pull/253>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md#%E2%84%B9%EF%B8%8F-context-based-graph-execution-methods-for-different-threading-models>ℹ️ Context-based graph execution methods for different threading models
Review the new proposal for context-based graph execution methods that is an improved design and considers feedback received from the group for the earlier proposal.

  *    issue: Should WebNN support async APIs? webmachinelearning/webnn#230<https://github.com/webmachinelearning/webnn/issues/230>
  *    PR: Context-based graph execution methods for different threading models webmachinelearning/webnn#257<https://github.com/webmachinelearning/webnn/pull/257>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md#%E2%84%B9%EF%B8%8F-candidate-recommendation-maturity-wide-review-expectations>ℹ️ Candidate Recommendation maturity wide review expectations
Discuss wide review expectations for the WebNN API Candidate Recommendation (CR). Work out a plan for Accessibility, Internationalization, WebGPU WG reviews.

  *   Accessibility checklist https://w3c.github.io/apa/fast/checklist.html

  *   Internationalization checklist https://w3c.github.io/i18n-drafts/techniques/shortchecklist

  *   WebGPU interop investigation gpuweb/gpuweb#2500<https://github.com/gpuweb/gpuweb/issues/2500>

See also:

  *   CR readiness tracker webmachinelearning/webnn#240<https://github.com/webmachinelearning/webnn/issues/240>
  *   Wide review tracker webmachinelearning/webnn#239<https://github.com/webmachinelearning/webnn/issues/239>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-21-wg-agenda.md#%E2%84%B9%EF%B8%8F-open-issues-and-pull-requests>ℹ️ Open issues and pull requests
Discuss/resolve open issues and review open PRs pending review, time permitting.

  *   Open issues: https://github.com/webmachinelearning/webnn/issues

  *   Open PRs: https://github.com/webmachinelearning/webnn/pulls