- From: Kostiainen, Anssi <anssi.kostiainen@intel.com>
- Date: Thu, 18 Dec 2025 16:37:45 +0000
- To: "public-webmachinelearning-wg@w3.org" <public-webmachinelearning-wg@w3.org>
- Message-ID: <9C012814-C5C2-48F6-9DB0-6AD981FB7D33@intel.com>
Hi All,
Thanks for joining us!
Special thanks to Tarek for sharing an exciting early Xmas present with the group: a Python and Rust implementation of the WebNN API aimed at Firefox! 🎁
We will resume these WG meetings after the holiday break on 15th January 2026. Happy Holidays Everyone!
Minutes:
https://www.w3.org/2025/12/18-webmachinelearning-minutes.html
Summary:
1. Incubations<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#2a6f>
2. New implementation experience and developer feedback<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#1476>
* Python and Rust implementation of the WebNN API aimed at Firefox<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#daf1>
* New developer feedback from the developer ecosystem<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#5539>
3. External weights, learnings from WebGPU<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#60f1>
4. New device selection hints for MLContextOptions<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#646f>
5. Add minimum data type set and rank range for input, constant, output<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#0d99>
6. Remove conformance tests with negative scale of DQ/Q operators<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#ac0d>
7. 2025 Reflections<https://www.w3.org/2025/12/18-webmachinelearning-minutes.html#7c2b>
Thanks,
-Anssi (WebML WG/CG chair)
Received on Thursday, 18 December 2025 16:38:00 UTC