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FW: Call for Participation: W3C Workshop on Web & Machine Learning, 24-25 March

From: Siegman, Tzviya <tsiegman@wiley.com>
Date: Tue, 14 Jan 2020 15:17:31 +0000
To: "public-css-print@w3.org" <public-css-print@w3.org>
Message-ID: <BL0PR02MB4820E234D8730552160EC75BD5340@BL0PR02MB4820.namprd02.prod.outlook.com>
Hi all,

Has a message like this gone out to the AC out the CSS print workshop? 

Best,
Tzviya 

Tzviya Siegman
Information Standards Lead
Wiley
201-748-6884
tsiegman@wiley.com 

-----Original Message-----
From: xueyuan <xueyuan@w3.org> 
Sent: Tuesday, January 14, 2020 2:43 AM
To: w3c-ac-forum@w3.org
Cc: chairs@w3.org
Subject: Call for Participation: W3C Workshop on Web & Machine Learning, 24-25 March


Dear Advisory Committee Representative,
Chairs,

W3C is pleased to call for participation in:

       W3C Workshop on Web & Machine Learning
       24-25 March 2020, Berlin, Germany
       https://www.w3.org/2020/01/machine-learning-workshop/


Our thanks to Microsoft for hosting the workshop.

The primary goal of the workshop is to bring together providers of Machine Learning tools and frameworks with Web platform practitioners to enrich the Open Web Platform with better foundations for machine learning.

The secondary goals of the workshop are as follows:
* Understand how machine learning fits into the Web technology stack,
* Understand how browser-based machine learning fits into the machine learning ecosystem,
* Explore the impact of machine learning technologies on Web browsers and Web applications,
* Evaluate the opportunities for standardization around machine learning APIs and formats.

Attendance is free for all invited participants and is open to the public, whether or not W3C members.

Expected topics of discussion include:
* Dedicated machine learning APIs for browsers as explored by the Machine Learning for the Web Community Group [1]
* Integration of browser-provided data sources in machine learning workflows
* Layering and interoperability of machine learning APIs with other computing APIs (e.g. WebGPU, WebAssembly)
* Domain-specific machine learning APIs
* Interchange format for machine learning models on the Web
* Client- and cloud-based machine learning interactions
* On-device machine learning training in browsers
* Risks and benefits of browser-based machine learning on privacy, security, accessibility
* Using machine learning primitives to help improve accessibility of Web pages and applications
* Machine learning frameworks for the Web
* Machine learning hardware accelerators

For more information on the workshop, please see the workshop details and submission instructions:
       https://www.w3.org/2020/01/machine-learning-workshop/


If you have any questions, please contact organizer Dominique Hazael-Massieux <dom@w3.org>.

W3C Members interested in sponsoring this workshop should contact Dominique Hazael-Massieux - see also:
https://www.w3.org/2020/01/machine-learning-workshop/sponsorship - the sponsorship will be used to cover catering and funding for critical participants who could not otherwise participate.

This announcement follows section 8 of the W3C Process Document:
       https://www.w3.org/2019/Process-20190301/#GAEvents


We look forward to seeing you there.

Xueyuan Jia, W3C Marketing & Communications

[1] https://www.w3.org/community/webmachinelearning/




Received on Tuesday, 14 January 2020 15:17:37 UTC

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