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| # WebML WG Teleconference – 24 March 2022 - 15:00-16:00 UTC+0 | ||
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| :bangbang: This meeting happens 1 hour later than usual in the US and Canada due to [Daylight Saving Time](https://www.timeanddate.com/time/dst/2022a.html) adjustment. Most of the US and Canada moved their clocks forward on Sunday, 13 March. This is two weeks earlier than Europe. Most European clocks will move 1 hour forward on Sunday, 27 March. | ||
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| <details open><summary>See the timezone table ...</summary> | ||
| <table> | ||
| <tr><td> San Francisco (U.S.A. - California) <td> Thu, 24 March 2022 <td> 08:00 <td> UTC-7 hours :bangbang: | ||
| <tr><td> Boston (U.S.A. - Massachusetts) <td> Thu, 24 March 2022 <td> 11:00 <td> UTC-4 hours :bangbang: | ||
| <tr><td> London (United Kingdom - England) <td> Thu, 24 March 2022 <td> 15:00 <td> UTC+0 hours | ||
| <tr><td> Berlin (Germany) <td> Thu, 24 March 2022 <td> 16:00 <td> UTC+1 hours | ||
| <tr><td> Helsinki (Finland) <td> Thu, 24 March 2022 <td> 17:00 <td> UTC+2 hours | ||
| <tr><td> Shanghai (China) <td> Thu, 24 March 2022 <td> 23:00 <td> UTC+8 hours | ||
| <tr><td> Tokyo (Japan) <td> Fri, 25 March 2021 <td> 00:00 <td> UTC+9 hours | ||
| <tr><td> Corresponding UTC (GMT) <td> Thu, 24 March 2022 <td colspan=2> 15:00 UTC | ||
| </table> | ||
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| Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220324T15 | ||
| </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/2022/03/24-webmachinelearning-minutes.html | ||
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| --- | ||
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| #### ℹ️ Security considerations - last call for review | ||
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| > Review the PR that is the group's response to security questions from Chrome Security team. | ||
| - [ ] issue: General Security Questions: https://github.com/webmachinelearning/webnn/issues/241 | ||
| - [ ] PR: Update Security Considerations per review feedback: https://github.com/webmachinelearning/webnn/pull/251 | ||
| - [ ] All security-tracker issues: https://github.com/webmachinelearning/webnn/issues?q=label%3Asecurity-tracker+ | ||
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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 proposed new features | ||
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| > CR expectation is that the spec is considered technically complete and fit for purpose. Review the new proposed CR issues targeting this milestone. Discuss any blockers or new information that might suggest we need to adjust our scope and/or timeline. | ||
| Proposed new CR issues: | ||
| - [ ] WebNN should support int8 quantized models https://github.com/webmachinelearning/webnn/issues/128 | ||
| - [ ] WebNN / WebGPU interop https://github.com/gpuweb/gpuweb/issues/2500 | ||
| - Related: Integration with real-time video processing https://github.com/webmachinelearning/webnn/issues/226 | ||
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| (All "cr" issues https://github.com/webmachinelearning/webnn/labels/cr) | ||
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| #### ℹ️ Proposed new use cases | ||
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| > 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 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 |