WebML WG Teleconference – 13 February 2025 - 15:00-16:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md


WebML WG Teleconference – 13 February 2025 - 15:00-16:00 UTC

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#webml-wg-teleconference--13-february-2025---1500-1600-utc>
See the timezone table ...

Logistics

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#logistics>

  *   Chair: Anssi
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

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

  *   Zoom joining instructions: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2023Jun/0000.html

  *   Minutes: https://www.w3.org/2025/02/13-webmachinelearning-minutes.html


Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#agenda>

📢 Announcements

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#-announcements>

  *   WebML Working Group Charter Advisory Committee review started

     *   Announcement<https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/2025Feb/0000.html>
  *   WebML Community Group meetings to kick off on 25/26 Feb 2025

     *   Bi-weekly on Tue 4-5 pm PST / Wed 00-01 am UTC / Wed 8-9 am CST / Wed 9-10 am JST
     *   Scope: https://webmachinelearning.github.io/incubations/


ℹ️ ML in Web Extensions
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-ml-in-web-extensions>


Discuss and hear from recent experiments in running offline machine learning tasks in web extensions.


References:

  *   ☰ Firefox AI Runtime<https://blog.mozilla.org/en/products/firefox/firefox-ai/running-inference-in-web-extensions/>
  *   ☰ The Prompt API in Chrome Extensions<https://developer.chrome.com/docs/extensions/ai/prompt-api>

ℹ️ Device selection - Remove MLDeviceType
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-device-selection---remove-mldevicetype>


Final review for the spec PR to remove MLDeviceType as outlined in the explainer.


  *   ☰ device-selection-explainer.md<https://github.com/webmachinelearning/webnn/blob/main/device-selection-explainer.md>
  *   ⛙ Spec PR webmachinelearning/webnn#809<https://github.com/webmachinelearning/webnn/pull/809>

ℹ️ Device selection - Query mechanism
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-device-selection---query-mechanism>


Discuss, refine and solicit proposals and use cases for the query mechanism for supported devices. Consider implementability, privacy, security implications.


  *   ⨀ webmachinelearning/webnn#815<https://github.com/webmachinelearning/webnn/issues/815>

ℹ️ Operator set Wave 3
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-operator-set-wave-3>


Review draft PR and (many!) issues it closes.


PR also welcomes contributions to remaining algorithm steps and examples to the scattering/gathering operators.


  *   ⨀ webmachinelearning/webnn#375<https://github.com/webmachinelearning/webnn/issues/375>
  *   ⛙ webmachinelearning/webnn#805<https://github.com/webmachinelearning/webnn/pull/805>


Closes: ⨀ #93<https://github.com/webmachinelearning/webnn/issues/93>, ⨀ #467<https://github.com/webmachinelearning/webnn/issues/467>, ⨀ #772<https://github.com/webmachinelearning/webnn/issues/772>, ⨀ #767<https://github.com/webmachinelearning/webnn/issues/767>, ⨀ #773<https://github.com/webmachinelearning/webnn/issues/773>, ⨀ #779<https://github.com/webmachinelearning/webnn/issues/779>

🏷️ feature request<https://github.com/webmachinelearning/webnn/labels/feature%20request> issues
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%EF%B8%8F-feature-request-issues>

  *   Remove pool2d MLRoundingType
     *   ⨀ webmachinelearning/webnn#324<https://github.com/webmachinelearning/webnn/issues/324>
     *   ⛙ webmachinelearning/webnn#770<https://github.com/webmachinelearning/webnn/pull/770>
     *   ☰ Discuss remaining PR review comments.

🏷️ bug<https://github.com/webmachinelearning/webnn/labels/bug> issues
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%EF%B8%8F-bug-issues>

  *   Reject promises for in-progress operations on an MLTensor if it is destroyed
     *   ⨀ follow-up to webmachinelearning/webnn#477<https://github.com/webmachinelearning/webnn/issues/477>
     *   ⛙ webmachinelearning/webnn#799<https://github.com/webmachinelearning/webnn/pull/799>
     *   ☰ Review PR.

🏷️ interop<https://github.com/webmachinelearning/webnn/labels/interop> issues
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-02-13-wg-agenda.md#%EF%B8%8F-interop-issues>

  *   Behavior when there are NaNs in argmin/max inputs
     *   ⨀ webmachinelearning/webnn#811<https://github.com/webmachinelearning/webnn/issues/811>
     *   ☰ Discuss how backends handle NaNs in the input and agree on next steps.