- From: Coralie Mercier <coralie@w3.org>
- Date: Fri, 2 Oct 2020 11:46:11 +0200
- To: public-new-work@w3.org
Hello, This is an advance notice that a draft charter for a new Web Machine Learning Working Group is being prepared, with a mission "to develop APIs for enabling efficient machine learning inference in the browser." The Web and Machine Learning workshop [1] concluded on September 29th (minutes at [2] and report forthcoming) with a recommendation to start formal standardization work on the basis of the Web Neural Network API currently incubated in the Web Machine Learning Community Group: https://webmachinelearning.github.io/webnn/ https://www.w3.org/community/webmachinelearning/ The draft charter is at: https://w3c.github.io/machine-learning-charter/charter.html We welcome input and feedback on the draft charter in the charter GitHub repository, where feedback is public: https://github.com/w3c/machine-learning-charter The Web Machine Learning Community Group is meeting during TPAC and will discuss the workshop outcome and this charter proposal: https://github.com/webmachinelearning/meetings/tree/master/2020-10-22-tpac2020 If you have any questions or need further information, please contact Dominique Hazael-Massieux <dom@w3.org>. This announcement follows section 5.2.2 of the W3C Process Document: https://www.w3.org/2020/Process-20200915/#WGCharterDevelopment For Tim Berners-Lee, W3C Director, Wendy Seltzer, W3C Strategy Lead; Coralie Mercier, Head of W3C Marketing & Communications [1] https://www.w3.org/2020/06/machine-learning-workshop/ [2] https://www.w3.org/2020/06/machine-learning-workshop/proceeding.html -- Coralie Mercier - W3C Marketing & Communications - https://www.w3.org mailto:coralie@w3.org +337 810 795 22 https://www.w3.org/People/Coralie/
Received on Friday, 2 October 2020 09:46:13 UTC