Fwd: Call for Participation: Web Machine Learning Working Group Charter Approved; Join Machine Learning WG

Dear Machine Learning Community Group,

I'm happy to share the news that the sister Working Group we've been
working towards since the Workshop last summer [1] has been launched and
announced:

https://www.w3.org/blog/2021/04/w3c-launches-the-web-machine-learning-working-group/
  https://www.w3.org/groups/wg/webmachinelearning

If you plan on getting involved in the next phase of WebNN
standardization, please arrange to join the Working Group - if you work
for a W3C Member organization, ask your Advisory Committee
Representative to nominate you to the group; and if you don't, get in
touch with me to explore what the possibilities are.

Anssi and I will come back with more specific indications on how we
expect this Community Group and the new Working Group to work together.

Dom

1.
-------- Message transféré --------
Sujet :  Call for Participation: Web Machine Learning Working Group
Charter Approved; Join Machine Learning WG
Date de renvoi :  Tue, 20 Apr 2021 13:46:09 +0000
De (renvoi) :  public-webmachinelearning-wg@w3.org
Date :  Tue, 20 Apr 2021 21:45:42 +0800
De :  xueyuan <xueyuan@w3.org>
Pour :  public-webmachinelearning-wg@w3.org



Dear Members of the Web Machine Learning Working Group,

I'm relaying the announcement to the group's primary public mailing
list, to notify the group of its initial charter approval and call for
participation.

With kind regards,
Xueyuan Jia, Marketing & Communications


-------- Forwarded Message --------
Subject:  Call for Participation: Web Machine Learning Working Group
Charter Approved; Join Machine Learning WG
Date:  Tue, 20 Apr 2021 21:33:56 +0800
From:  xueyuan <xueyuan@w3.org>
To:  w3c-ac-members@w3.org
CC:  chairs@w3.org


Dear Advisory Committee representative,
Chairs,

The Director is pleased to announce the charter of the Web Machine
Learning Working Group.
  https://www.w3.org/2021/04/web-machine-learning-charter.html

The group is chartered through 30 April 2023.

The mission of the Web Machine Learning Working Group is to develop APIs
for enabling efficient machine learning inference in the browser.

Use the following form to join the group. The form will also instruct
you how to nominate participants:
  https://www.w3.org/2004/01/pp-impl/130674/join

Please consider diversity when proposing people to participate in W3C
groups. Representation from a wider group of people, especially people
from under-represented groups, is vital for creating web standards that
meet the needs of the wider web community.

The group plans to have its first major virtual meeting during TPAC.

The group chair is Anssi Kostiainen (Intel). The Team Contact is
Dominique Hazael-Massieux <dom@w3.org> for a total of 0.1 FTE.

More information about the group can be found on the group home page:
  https://www.w3.org/groups/wg/webmachinelearning

For additional background, please see the blog post:
https://www.w3.org/blog/2021/04/w3c-launches-the-web-machine-learning-working-group/

[...]
The changes between the final charter and the one sent for review can be
seen in:

https://services.w3.org/htmldiff?doc1=https%3A%2F%2Fwww.w3.org%2F2021%2F02%2Fproposed-machine-learning-charter.html&doc2=https%3A%2F%2Fwww.w3.org%2F2021%2F04%2Fweb-machine-learning-charter.html

----

This announcement follows section 7.1.2 of the W3C Process Document:
  https://www.w3.org/2020/Process-20200915/#ACReviewAfter

and the Call for Participation follows section 5.2.4 of the W3C Process
Document:
  https://www.w3.org/2020/Process-20200915/#cfp

Thank you,

For Tim Berners-Lee, W3C Director,
Dominique Hazael-Massieux, Web Machine Learning WG Team Contact;
Xueyuan Jia, W3C Marketing & Communications

Received on Tuesday, 20 April 2021 13:49:36 UTC