Add workshop agenda for Live Sessions #2 and #3

Author: anssiko

agenda/README.md

@@ -38,9 +38,13 @@
 - ❓ Pay attention to the applicability of the browser-targeted work to non-browser JS environments, in particular Node.js.
 - ✔️ Proposal: Extend W3C coordination to TC53 and non-browser projects.
 
-ℹ️ [Targeting WASI-NN and WebNN together #96](https://github.com/w3c/machine-learning-workshop/issues/96) - @mehmetoguzderin @mingqiusun @abrown
-- ❓ Should libraries for browsers and/or Wasm execution environments be able to target WebNN and WASI-NN together?
-- ✔️ Proposal: TBD
+## September 22, 2020, 2pm UTC [🗓️](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200922T14)
+
+>🔎 **Scope:** Web Platform Foundations for Machine Learning
+>
+>✅ **Goal:** Understand how machine learning fits into the Web technology stack
+
+- [💡 "Web Platform Foundations" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Web+Platform+Foundations%22+sort%3Acomments-desc) 
 
 ## Considerations for creating and deploying models
 
@@ -52,17 +56,23 @@
 - ❓ There is no standard format for packaging and shipping ML models, model formats evolve rapidly.
 - ✔️ Proposal: Initially focus on defining a Web API for accelerating established reusable ML operations instead of standardizing a model format.
 
-ℹ️ [In-browser training #82](https://github.com/w3c/machine-learning-workshop/issues/82) and [Training across devices #83](https://github.com/w3c/machine-learning-workshop/issues/83) - @irealva @cynthia
+ℹ️ [In-browser training #82](https://github.com/w3c/machine-learning-workshop/issues/82) - @irealva @hapticdata @cynthia
 - ❓ The current in-browser efforts are focused on inference rather than training.
 - ✔️ 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.
 
-## September 22, 2020, 2pm UTC [🗓️](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200922T14)
+ [Training across devices #83](https://github.com/w3c/machine-learning-workshop/issues/83) - @wmaass @Nov1102 @EmmaNingMS @zolkis @jaykishigami
+- ❓ Understand the role of edge computing in training and interactions with the web platform.
+- ✔️ Proposal: Work with Web & Networks IG to understand edge computing use cases and ensure input from ML usages is considered.
 
->🔎 **Scope:** Web Platform Foundations for Machine Learning
->
->✅ **Goal:** Understand how machine learning fits into the Web technology stack
+## Extending the web foundations for ML
 
-- [💡 "Web Platform Foundations" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Web+Platform+Foundations%22+sort%3Acomments-desc) 
+ℹ️ [Targeting WASI-NN and WebNN together #96](https://github.com/w3c/machine-learning-workshop/issues/96) - @mehmetoguzderin @mingqiusun @abrown
+- ❓ Should libraries for browsers and/or Wasm execution environments be able to target WebNN and WASI-NN together?
+- ✔️ Proposal: TBD
+
+ℹ️ [Heterogeneous parallel computing for the web #92](https://github.com/w3c/machine-learning-workshop/issues/92) - @jeffhammond @Kangz @abrown
+- ❓ How do the heterogeneous parallel computing abstractions fit in with the web platform?
+- ✔️ Proposal: TBD
 
 ## September 23, 2020, 2pm UTC [🗓️](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200923T14)
 
@@ -72,6 +82,40 @@
 
 - [💡 "Developer's Perspective" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Developer%27s+Perspective%22+sort%3Acomments-desc)
 
+## Applying web design principles to ML
+
+ℹ️ [Progressive Enhancement / Graceful degradation #68](https://github.com/w3c/machine-learning-workshop/issues/68) - @dontcallmedom  @jbingham @wchao1115 @huningxin
+- ❓ How to bring more ML features as optional improvements on more powerful devices and browsers without breaking web compatibility?
+- ✔️ Proposal: TBD
+
+ℹ️ [Conformance testing of ML APIs for the Web #80](https://github.com/w3c/machine-learning-workshop/issues/80) - @wchao1115  @Kangz
+- ❓ Robust conformance testing is a cornerstone of the interoperable web platform, how to scale that to the ML APIs and formats?
+- ✔️ Proposal: TBD
+
+## Improving web developer ergonomics
+
+ℹ️ [JS Operator overloading for Machine Learning #73](https://github.com/w3c/machine-learning-workshop/issues/73) - @TBD
+- ❓ Limitations in ECMAScript expressiveness impose ergonomics limitations for JS APIs on the web platform e.g. in vector matrix or tensor operations.
+- ✔️ Proposal: TBD
+
+ℹ️ [WebGL garbage collection #63](https://github.com/w3c/machine-learning-workshop/issues/63) - @jasonmayes @Kangz @wchao1115 @huningxin
+- ❓ Garbage collection in the WebGL API affects multiple ML libraries. 
+- ✔️ Proposal: Identify any improvements in graphics APIs to alleviate the GC issue, ensure purpose-built APIs designed around computational graph abstraction (e.g. WebNN) optimize GC from library usage perspective.
+
+ℹ️ [Neural network-oriented graph database #102](https://github.com/w3c/machine-learning-workshop/issues/102) - @WenheLI
+- ❓ Understand model storage issues on the client, research the feasibility of a neural network-oriented graph database for the web.
+- ✔️ Proposal: TBD
+
+## Developing interactive web experiences with ML
+
+ℹ️ [Action-Response Cycle bottlenecks in interactive music apps #97](https://github.com/w3c/machine-learning-workshop/issues/97) - @teropa
+- ❓ Action-Response Cycle in interactive (music) apps must execute within 20 ms.
+- ✔️ Proposal: Investigate inference in AudioWorklet context and media integration e.g. fast streaming inputs from MediaStream.
+
+ℹ️ Noise suppression with DSP+DNN, WebNN and Web Audio API feature gaps - @TBD
+- ❓ TBD
+- ✔️ Proposal: TBD
+
 ## September 29, 2020, 2pm UTC [🗓️](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200929T14)
 
 >🔎 **Scope:** Machine Learning Experiences on the Web: A **User’s** Perspective