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# WebML WG Teleconference – 21 April 2022 - 14:00-15:00 UTC+0 | ||
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<table> | ||
<tr><td> San Francisco (U.S.A. - California) <td> Thu, 21 April 2022 <td> 07:00 <td> UTC-7 hours | ||
<tr><td> Boston (U.S.A. - Massachusetts) <td> Thu, 21 April 2022 <td> 10:00 <td> UTC-4 hours | ||
<tr><td> London (United Kingdom - England) <td> Thu, 21 April 2022 <td> 15:00 <td> UTC+1 hours | ||
<tr><td> Berlin (Germany) <td> Thu, 21 April 2022 <td> 16:00 <td> UTC+2 hours | ||
<tr><td> Helsinki (Finland) <td> Thu, 21 April 2022 <td> 17:00 <td> UTC+3 hours | ||
<tr><td> Shanghai (China) <td> Thu, 21 April 2022 <td> 22:00 <td> UTC+8 hours | ||
<tr><td> Tokyo (Japan) <td> Thu, 21 April 2022 <td> 23:00 <td> UTC+9 hours | ||
<tr><td> Corresponding UTC (GMT) <td> Thu, 21 April 2022 <td colspan=2> 14:00 UTC | ||
</table> | ||
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Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220421T14 | ||
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</details> | ||
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## Logistics | ||
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* 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 | ||
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#### ℹ️ Announcements | ||
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- 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 | ||
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#### ℹ️ Proposed new use cases | ||
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> Discuss and review the proposed new use cases. | ||
- [ ] Performance Adaptation https://github.com/webmachinelearning/webnn/pull/207 | ||
- [ ] Ethical Content Filtering https://github.com/webmachinelearning/webnn/pull/253 | ||
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#### ℹ️ Context-based graph execution methods for different threading models | ||
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> 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? https://github.com/webmachinelearning/webnn/issues/230 | ||
- [ ] PR: Context-based graph execution methods for different threading models https://github.com/webmachinelearning/webnn/pull/257 | ||
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#### ℹ️ Candidate Recommendation maturity wide review expectations | ||
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>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 https://github.com/gpuweb/gpuweb/issues/2500 | ||
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See also: | ||
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- CR readiness tracker https://github.com/webmachinelearning/webnn/issues/240 | ||
- Wide review tracker https://github.com/webmachinelearning/webnn/issues/239 | ||
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#### ℹ️ Open issues and pull requests | ||
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> 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 |