WebML WG Teleconference – 13 April 2023 - 14:00-15:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md


WebML WG Teleconference – 13 April 2023 - 14:00-15:00 UTC
See the timezone table ...
San Francisco (U.S.A. - California)     Thu, 13 April 2022      07:00   UTC-7 hours
Boston (U.S.A. - Massachusetts) Thu, 13 April 2022      10:00   UTC-4 hours
London (United Kingdom - England)       Thu, 13 April 2022      15:00   UTC+1 hours
Berlin (Germany)        Thu, 13 April 2022      16:00   UTC+2 hours
Helsinki (Finland)      Thu, 13 April 2022      17:00   UTC+3 hours
Shanghai (China)        Thu, 13 April 2022      22:00   UTC+8 hours
Tokyo (Japan)   Thu, 13 April 2022      23:00   UTC+9 hours
Corresponding UTC (GMT) Thu, 13 April 2022      14:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230413T14


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-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/2023/04/13-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-charter-2023-2025-w3c-advisory-committee-review-completed>ℹ️ Charter 2023-2025 W3C Advisory Committee review completed

Thank you for your support and comments!

Comments from this final review are now being addressed and we expect to operationalize the new charter starting May 2023 to initiate discussions on WebNN v2 features.

Proposed Charter 2023-2025: https://www.w3.org/2023/03/proposed-webmachinelearning-charter.html


Public review comments:

  *    PRs: w3c/machine-learning-charter#33<https://github.com/w3c/machine-learning-charter/pull/33>
  *    issue: webmachinelearning/webnn#375<https://github.com/webmachinelearning/webnn/issues/375>
  *    issue: w3c/machine-learning-charter#31<https://github.com/w3c/machine-learning-charter/issues/31>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---styling-and-structural-changes-automation>ℹ️ WebNN - styling and structural changes, automation

  *   Review proposed spec styling and structural changes

  *   Discuss opportunities for automation

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---webidl-and-infra-standard-conventions>ℹ️ WebNN - WebIDL and Infra standard conventions

  *   The constant() method steps

     *    Spec: https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-constant

     *    Spec: https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-constant-value-type

     *    PR: webmachinelearning/webnn#365<https://github.com/webmachinelearning/webnn/pull/365>
  *   MLOperand and MLActivation internal slots

     *    issue: webmachinelearning/webnn#336<https://github.com/webmachinelearning/webnn/issues/336>
     *    PR: webmachinelearning/webnn#337<https://github.com/webmachinelearning/webnn/pull/337>
  *   Sync and async algorithms

     *    issue: webmachinelearning/webnn#316<https://github.com/webmachinelearning/webnn/issues/316>
     *    PR: webmachinelearning/webnn#329<https://github.com/webmachinelearning/webnn/pull/329>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-04-13-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---enhancements-editorials-questions>ℹ️ WebNN - enhancements, editorials, questions

  *   TC39 proposal to add Float16Array to JavaScript

     *    issue: webmachinelearning/webnn#373<https://github.com/webmachinelearning/webnn/issues/373>
     *    TC39 proposal: http://tc39.es/proposal-float16array/

  *   Define the algorithm of calculating the effective padding for "same-upper" and "same-lower" option

     *    issue: webmachinelearning/webnn#326<https://github.com/webmachinelearning/webnn/issues/326>
  *   Clarify the usage of 32 bit floating point type and consider using double

     *    issue: webmachinelearning/webnn#325<https://github.com/webmachinelearning/webnn/issues/325>
  *   Subclass MLGraph based on the context that creates it

     *    issue: webmachinelearning/webnn#344<https://github.com/webmachinelearning/webnn/issues/344>