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# WebML WG Teleconference – 5 May 2022 - 14:00-15:00 UTC+0

<table>
<tr><td> San Francisco (U.S.A. - California) <td> Thu, 5 May 2022 <td> 07:00 <td> UTC-7 hours
<tr><td> Boston (U.S.A. - Massachusetts) <td> Thu, 5 May 2022 <td> 10:00 <td> UTC-4 hours
<tr><td> London (United Kingdom - England) <td> Thu, 5 May 2022 <td> 15:00 <td> UTC+1 hours
<tr><td> Berlin (Germany) <td> Thu, 5 May 2022 <td> 16:00 <td> UTC+2 hours
<tr><td> Helsinki (Finland) <td> Thu, 5 May 2022 <td> 17:00 <td> UTC+3 hours
<tr><td> Shanghai (China) <td> Thu, 5 May 2022 <td> 22:00 <td> UTC+8 hours
<tr><td> Tokyo (Japan) <td> Thu, 5 May 2022 <td> 23:00 <td> UTC+9 hours
<tr><td> Corresponding UTC (GMT) <td> Thu, 5 May 2022 <td colspan=2> 14:00 UTC
</table>

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220505T14

</details>

## 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/2022/05/05-webmachinelearning-minutes.html

#### 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? https://github.com/webmachinelearning/webnn/issues/230
- [ ] PR: Context-based graph execution methods for different threading models https://github.com/webmachinelearning/webnn/pull/257

#### ℹ️ Accessibility and Internationalization checklist responses

>Review proposed Accessibility and Internationalization checklist responses.
- Review proposed Accessibility checklist response https://github.com/webmachinelearning/webnn/issues/261
- Review proposed Internationalization checklist response https://github.com/webmachinelearning/webnn/issues/262

See also:

- CR readiness tracker https://github.com/webmachinelearning/webnn/issues/240
- Wide review tracker https://github.com/webmachinelearning/webnn/issues/239

#### ℹ️ WebNN integration with WebRTC APIs and WebGPU interop

>Update from the WebRTC WG meeting, identify next steps for WebRTC integration and WebGPU interop.
- WebNN/mediacapture-transform integration (presented at WebRTC WG April meeting: [slides](https://docs.google.com/presentation/d/15iAIhzpaA6reKJBL-ecgYtic6ZKHEpKL5OK_sExTllc/edit#slide=id.g12073675a7a_0_0), [minutes](https://www.w3.org/2022/04/26-webrtc-minutes.html#t01))
- WebGPU interop investigation https://github.com/gpuweb/gpuweb/issues/2500


#### 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

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