WebML WG Teleconference – 30 June 2022 - 14:00-15:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md


WebML WG Teleconference – 30 June 2022 - 14:00-15:00 UTC
San Francisco (U.S.A. - California)     Thu, 30 June 2022       07:00   UTC-7 hours
Boston (U.S.A. - Massachusetts) Thu, 30 June 2022       10:00   UTC-4 hours
London (United Kingdom - England)       Thu, 30 June 2022       15:00   UTC+1 hours
Berlin (Germany)        Thu, 30 June 2022       16:00   UTC+2 hours
Helsinki (Finland)      Thu, 30 June 2022       17:00   UTC+3 hours
Shanghai (China)        Thu, 30 June 2022       22:00   UTC+8 hours
Tokyo (Japan)   Thu, 30 June 2022       23:00   UTC+9 hours
Corresponding UTC (GMT) Thu, 30 June 2022       14:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220630T14


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#logistics>Logistics

  *   Chair: Anssi
  *   Scribe: ? (see howto<https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md>, volunteers welcome!)
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

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

  *   Joining instructions: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2022/06/30-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn-implementation-status-update>ℹ️ WebNN implementation status update
Discuss the recent Web Neural Network API implementation advancements in Chromium, any issues identified that suggest spec clarifications, plan for the Web Neural Network API implementation in Chromium.
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-privacy-review-request-for-ping>ℹ️ Privacy review request for PING
Review the proposed Privacy review request and PR for Privacy Considerations refresh.

  *    issue: [PROPOSED] Privacy review request for PING webmachinelearning/webnn#276<https://github.com/webmachinelearning/webnn/issues/276>
  *    PR: Privacy Considerations refresh webmachinelearning/webnn#271<https://github.com/webmachinelearning/webnn/pull/271>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-ethical-principles-for-web-machine-learning-draft-note>ℹ️ Ethical Principles for Web Machine Learning Draft Note
Discuss the first W3C Note<https://www.w3.org/2021/Process-20211102/#WGNote> of Ethical Principles for Web Machine Learning<https://webmachinelearning.github.io/ethical-webmachinelearning/> document and next steps.

  *   CfC to publish Ethical Principles for Web Machine Learning as a Draft Note, respond by 23 June https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/2022Jun/0002.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn-api-candidate-recommendation-issue-scope>ℹ️ WebNN API Candidate Recommendation issue scope
Review and discuss the current CR issues, work out a plan to address the issues prior to the expected CR publication.

  *   Current CR issues https://github.com/webmachinelearning/webnn/issues?q=is%3Aissue+is%3Aopen+label%3Acr


  *   Support asynchronous context creation

     *    issue: webmachinelearning/webnn#272<https://github.com/webmachinelearning/webnn/issues/272>
     *    PR: webmachinelearning/webnn#274<https://github.com/webmachinelearning/webnn/pull/274>
  *   Forward-looking use cases redirected to proposals repo:

     *   Performance Adaptation webmachinelearning/webnn#207<https://github.com/webmachinelearning/webnn/pull/207>
     *   Ethical Content Filtering webmachinelearning/webnn#253<https://github.com/webmachinelearning/webnn/pull/253>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-commandbuffer-usage-clarification>ℹ️ CommandBuffer usage clarification
Discuss on how to address the WebGPU resource usage and sharing issues in preparation for the WebGPU WG review.

  *    issue: CommandBuffer usage clarification: internal, external, both? webmachinelearning/webnn#264<https://github.com/webmachinelearning/webnn/issues/264>
  *    WebGPU issue: Investigation: WebNN / WebGPU interop gpuweb/gpuweb#2500<https://github.com/gpuweb/gpuweb/issues/2500>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-proposed-new-features>ℹ️ Proposed new features

  *    issue: Should MLBufferView + MLOperandDescriptor be strongly typed webmachinelearning/webnn#275<https://github.com/webmachinelearning/webnn/issues/275>

  *    issue: Support coordinate transformation modes for Resample2d webmachinelearning/webnn#270<https://github.com/webmachinelearning/webnn/issues/270>

  *    issue: Define the data type of the padding, strides and dilations webmachinelearning/webnn#269<https://github.com/webmachinelearning/webnn/issues/269>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-tpac-2022>ℹ️ TPAC 2022
Discuss TPAC 2022<https://www.w3.org/2022/09/TPAC/Overview.html> plans for the WG.