WebML WG Teleconference – 27 January 2022 - 15:00-16:00 UTC+0

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md


WebML WG Teleconference – 27 January 2022 - 15:00-16:00 UTC+0
See the timezone table ...
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-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

  *   Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2022/01/27-webmachinelearning-minutes.html


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<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md#%E2%84%B9%EF%B8%8F-security-review>ℹ️ Security review

  *   Discuss security review feedback from Chrome Security team

  *    issue: General Security Questions: https://github.com/webmachinelearning/webnn/issues/241

  *    issue: Guidelines/philosophy for new operations, including security principles: https://github.com/webmachinelearning/webnn/issues/242

  *    issue: Op metadata that helps avoid implementation mistakes: https://github.com/webmachinelearning/webnn/issues/243

  *    issue: A conformance suite with disallowed intra-op examples would be helpful for hardening: https://github.com/webmachinelearning/webnn/issues/244


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md#%E2%84%B9%EF%B8%8F-integration-with-real-time-video-processing>ℹ️ Integration with real-time video processing

  *   Review proposed prototype next steps
  *   Review proposed use case for spec inclusion
  *   Discuss progress of feature work in other specs related to the media pipeline: mediacapture-transform, WebGPU, WebCodecs (see issue #226 for pointers)

  *    issue: https://github.com/webmachinelearning/webnn/issues/226

  *    proposed prototype next steps: https://github.com/webmachinelearning/webnn/issues/226#issuecomment-1016104142

  *    proposed use case PR: https://github.com/webmachinelearning/webnn/pull/249


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md#%E2%84%B9%EF%B8%8F-double-precision-baseline-implementation-of-webnn-operations-for-testing>ℹ️ Double-precision baseline implementation of WebNN operations for testing

  *   Review the double-precision baseline implementation of WebNN operations for web-platform-tests purposes

  *    issue: https://github.com/webmachinelearning/webnn/issues/245

  *    staging repo: https://github.com/huningxin/webnn-baseline


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-01-27-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn-api-candidate-recommendation>ℹ️ WebNN API Candidate Recommendation

  *   Time permitting, check our progress against the CR milestone

  *   CR readiness tracker: https://github.com/webmachinelearning/webnn/issues/240

  *   Wide review tracker: https://github.com/webmachinelearning/webnn/issues/239

  *   CR blockers (WIP): https://github.com/webmachinelearning/webnn/issues?q=label%3Acr