Re: [w3ctag/design-reviews] Delta review (to CR) of Web Neural Network API (Issue #771)

Hi again TAG!

NB: I'm piggypacking on this issue to retain context, but please let me know if I should file a new issue instead. On behalf of the WG I hope the TAG is happy to see these changes and look forward to your comments.

We're looking to publish a new CR Snapshot of the [Web Neural Network API](https://www.w3.org/TR/webnn/) in Q1'24 and wanted to give you a heads up with the following high-level summary of changes for your information and review:

>Since the [initial Candidate Recommendation Snapshot](https://www.w3.org/TR/2023/CR-webnn-20230330/) the Working Group has gathered further [implementation experience](https://webmachinelearning.github.io/webnn-status/) and added new operations and data types needed for well-known [transformers to support generative AI use cases](https://github.com/webmachinelearning/webnn/issues/375). In addition, the group has removed select features informed by this implementation experience: higher-level operations that can be expressed in terms of lower-level primitives in a performant manner, and support for synchronous execution. The group has also updated the specification to use modern authoring conventions to improve interoperability and precision of normative definitions and is developing a new feature, a [backend-agnostic storage type](https://github.com/webmachinelearning/webnn/issues/482), to improve performance and interoperability between the WebNN, WebGPU APIs and purpose-built hardware for ML.

You are probably happy to see we're removing support for synchronous execution per your guidance (removal discussed in #531, we expect to land this change ahead this publication) and moving toward JSPI that is coming finally.



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