WebML WG Teleconference – 17 November 2022 - 15:00-16:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-11-17-wg-agenda.md


WebML WG Teleconference – 17 November 2022 - 15:00-16:00 UTC
San Francisco (U.S.A. - California)     Thu, 17 November 2022   07:00   UTC-8 hours
Boston (U.S.A. - Massachusetts) Thu, 17 November 2022   10:00   UTC-5 hours
London (United Kingdom - England)       Thu, 17 November 2022   15:00   UTC+0 hours (adjusted for DST)
Berlin (Germany)        Thu, 17 November 2022   16:00   UTC+1 hours (adjusted for DST)
Helsinki (Finland)      Thu, 17 November 2022   17:00   UTC+2 hours (adjusted for DST)
Shanghai (China)        Thu, 17 November 2022   23:00   UTC+8 hours (adjusted for DST)
Tokyo (Japan)   Fri, 17 November 2022   00:00   UTC+9 hours (adjusted for DST)
Corresponding UTC (GMT) Thu, 17 November 2022   15:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20221117T15


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-11-17-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/2022/11/17-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-11-17-wg-agenda.md#%E2%84%B9%EF%B8%8F-xla-openxla-project-stablehlo-invited-speaker-stella-laurenzo>ℹ️ XLA, OpenXLA Project, StableHLO (invited speaker Stella Laurenzo)
An invited speaker Stella Laurenzo from Google's ML/Compilers Applied Research group gives a talk about the XLA compiler, OpenXLA Project and StableHLO op set. Presentation followed by a Q&A and discussion to identify any areas of joint interest that might warrant further work to unlock synergies.

  *   XLA compiler: https://www.tensorflow.org/xla

  *   XLA Project: https://github.com/openxla

  *   StableHLO op set: https://github.com/openxla/stablehlo


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-11-17-wg-agenda.md#%E2%84%B9%EF%B8%8F-webml-wg-charter-2023-2025-under-development>ℹ️ WebML WG Charter 2023-2025 under development
Web Machine Learning Working Group Charter for 2023-2025 is now under development. Please review the draft PR and open issues, provide your comments and open new issues as appropriate to help shape the WG's technical scope.

  *   Announcement https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/2022Oct/0002.html

  *   Charter PR w3c/machine-learning-charter#19<https://github.com/w3c/machine-learning-charter/pull/19>
  *   Open issues https://github.com/w3c/machine-learning-charter/issues

     *   Features deferred to WebNN v2
     *   Dedicated ML hardware accelerators: NPU, VPU, xPU
     *   Set of ops supported must be more comprehensive
     *   Level of abstraction for neural net operations
     *   WebRTC coordination
     *   WebGPU interoperability
     *   On-device training