WebML WG Teleconference – 9 October 2025 - 15:00-16:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md


WebML WG Teleconference – 9 October 2025 - 15:00-16:00 UTC
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#webml-wg-teleconference--9-october-2025---1500-1600-utc>
See the timezone table ...
🤝 Logistics
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-logistics>

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

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

  *   Zoom joining instructions: internal-webmachinelearning<https://lists.w3.org/Archives/Member/internal-webmachinelearning/2023Jun/0000.html>
  *   Minutes: https://www.w3.org/2025/10/09-webmachinelearning-minutes.html


🧪 Incubations
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-incubations>

A debrief from WebML CG Teleconference – 2 October 2025<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-02-cg-agenda.md> (minutes<https://www.w3.org/2025/10/02-webmachinelearning-minutes.html>).

💡 F2F Agenda brainstorming
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-f2f-agenda-brainstorming>

Discuss, review and update draft WebML WG/CG F2F Agenda. Feedback also welcome via comments for both TBA topics and timing to avoid scheduling conflicts as best as we can.

Both in-person & remote participation options available.

  *   ⨀ WebML WG/CG F2F Agenda - TPAC 2025 (Kobe, Japan)<https://github.com/webmachinelearning/meetings/issues/35>

  *   🗓️ Mark the date: 10 November 2025<https://www.w3.org/events/meetings/f63193ec-259b-4ab8-ad65-a5a6e0adf556/>, 11 November 2025<https://www.w3.org/events/meetings/091a2581-034b-4afa-8ddc-91155bd4d710/>

🧠 Web Neural Network API
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-web-neural-network-api>

Tip

Specification<https://www.w3.org/TR/webnn/> | Explainer<https://github.com/webmachinelearning/webnn/blob/main/explainer.md> | Implementation Report<https://wpt.fyi/results/webnn> | Implementation Status<https://webmachinelearning.github.io/webnn-status/>

🏷️ New features and operator specific issues
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#%EF%B8%8F-new-features-and-operator-specific-issues>

  *   Drop support of 8-bit integers input for CumulativeSum

     *   ☰ Drop feature due to lack of backend support.
     *   ⨀ webmachinelearning/webnn#892<https://github.com/webmachinelearning/webnn/issues/892>
  *   Flexible input sizes

     *   ☰ Revisit again for any ORT feedback.
     *   ⨀ webmachinelearning/webnn#883<https://github.com/webmachinelearning/webnn/issues/883>

🔤 Core operator set
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-core-operator-set>

Discuss feedback from the NVIDIA team, subject to readiness. See prior meeting minutes<https://www.w3.org/2025/09/25-webmachinelearning-minutes.html#7aff> for context.

  *   ⨀ webmachinelearning/webnn#573<https://github.com/webmachinelearning/webnn/issues/573>
  *   ⨁ Machine Learning Operator Mapping - All Raw Operators<https://onedrive.live.com/edit?id=EE82F5C6F06C7371!345450&resid=EE82F5C6F06C7371!345450&ithint=file%2Cxlsx&authkey=!AK8f-RDTleqlLXE&wdo=2&cid=ee82f5c6f06c7371>

🔒 Privacy and Security
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-privacy-and-security>

Review the proposed revised privacy considerations that will close the wide review:

  *   ⨀ webmachinelearning/webnn#886<https://github.com/webmachinelearning/webnn/issues/886>
  *   ⛙ webmachinelearning/webnn#890<https://github.com/webmachinelearning/webnn/pull/890>

Security review was completed with positive feedback:

  *   ⨀ w3c/security-request#85<https://github.com/w3c/security-request/issues/85>

Wide review tracker:

  *   ⨀ webmachinelearning/webnn#239 (comment)<https://github.com/webmachinelearning/webnn/issues/239#issuecomment-2740740891>

🎲 Query supported devices
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-query-supported-devices>

Any updates to be discussed.

Before graph compilation

  *   ☰ Review simplified boolean-returning context.accelerated API.
  *   ⨀ webmachinelearning/webnn#815 (comment)<https://github.com/webmachinelearning/webnn/issues/815#issuecomment-3236159329>
  *   ⛙ webmachinelearning/webnn#884<https://github.com/webmachinelearning/webnn/pull/884>

After graph compilation

  *   ☰ Discuss async graph.devices() proposal to account for dynamic post-compile device changes, a Core ML imposed requirement.
  *   ⨀ webmachinelearning/webnn#836<https://github.com/webmachinelearning/webnn/issues/836>
  *   ⛙ webmachinelearning/webnn#854<https://github.com/webmachinelearning/webnn/pull/854>

⛙ Open PRs
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2025-10-09-wg-agenda.md#-open-prs>

Review any other open PRs that benefit from high-bandwidth discussion:

  *   ⛙ https://github.com/webmachinelearning/webnn/pulls