diff --git a/agenda/README.md b/agenda/README.md index 302231f..15197fa 100644 --- a/agenda/README.md +++ b/agenda/README.md @@ -10,9 +10,33 @@ > >✅ **Goal:** Determine what are the unique opportunities of browser-based ML, what are the obstacles hindering adoption -- 👋 Introduction to the workshop -- [💡 "Opportunities and Challenges" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Opportunities+and+Challenges%22+sort%3Acomments-desc) +👋 Introduction to the workshop - @anssiko @dontcallmedom +[💡 "Opportunities and Challenges" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Opportunities+and+Challenges%22+sort%3Acomments-desc): + +ℹī¸ WebGPU fitness for ML frameworks #66 - @jasonmayes @Kangz @grorg +- ❓ Does WebGPU expose the right API surface to support ML frameworks interactions with GPUs? +- ✔ī¸ Proposal: New WebGPU extensions for subgroups, cooperative matrix multiply. + +ℹī¸ Applicability to non-browser JS environments #62 - @jasonmayes @phoddie @huningxin @WenheLI +- ❓ Pay attention to the applicability of the browser-targeted work to non-browser JS environments, in particular Node.js. +- ✔ī¸ Proposal: Extend W3C coordination to TC53 and non-browser projects. + +ℹī¸ Protecting ML models #67 - @jasonmayes @tidoust @pyu10055 @jbingham +- ❓ Some ML providers need to ensure their ML models cannot be extracted from a browser app. +- ✔ī¸ Proposal: Investigate existing access control mechanisms for video, learnings from 3D assets. + +ℹī¸ Support for Float16 in JS & Wasm environments #64 - @cynthia @jasonmayes +- ❓ Lack of support for float16 in JS and Wasm environments problematic for quantized models. +- ✔ī¸ Proposal: TBD + +ℹī¸ In-browser training #82 and Training across devices #83 - @irealva @cynthia +- ❓ The current in-browser efforts are focused on inference rather than training. +- ✔ī¸ Proposal: Understand successful real-world usages (e.g. Teachable Machine) and target transfer learning as the initial training use case for related browser API work. + +ℹī¸ Permission model for Machine Learning APIs #72 - @cynthia @dontcallmedom @anssiko +- ❓ How to design a forward-looking permission model for ML APIs? +- ✔ī¸ Proposal: TBD ## September 22, 2020, 2pm UTC [🗓ī¸](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200922T14)