Comments (1)
The WG's work is motivated by the compelling user experiences it enables to web users. To that end, I'm proposing to add the following informative text to the Motivation and Background section:
Computer Vision enables computers to gain understanding from images or videos, Natural Language Processing enables interaction between computers and human languages, and Speech Recognition enables computers to recognize and translate spoken language into text. Bringing these experiences to the web in a privacy-preserving manner requires efficient machine learning inference capabilities built into the browser.
I think in addition we may want to clarify in the Scope section that the list of ops enumerated are examples of more established ops and the WG wants to give priority to ops that accelerate the above mentioned user experiences in CV, NLP, and Speech Recognition. Thus I'm proposing to add this non-binding text into the Scope section following the bullet list:
This Working Group puts priority on building blocks required by well-known model architectures in the fields of Computer Vision, Natural Language Processing and Speech Recognition."
from machine-learning-charter.
Related Issues (20)
- Is a graph of operations the right level of abstraction for a web standard? HOT 3
- Detailed explainer for Web NN API HOT 4
- Possible data process spec HOT 1
- Evidence of customer demand thatβs not met by WebGL and WASM HOT 1
- Graph vs model loader HOT 7
- Is this API likely to be a long-term solution? HOT 10
- Making sure the charter is flexible enough HOT 5
- Coordination between the CG and WG HOT 5
- WebGPU interoperability HOT 1
- WebRTC coordination HOT 1
- Level of abstraction for neural net operations HOT 1
- Dedicated ML hardware accelerators: NPU, VPU, xPU HOT 1
- Features deferred to WebNN v2 HOT 1
- Descriptive input formats for building graphs? HOT 1
- On-device training HOT 1
- OpenXLA coordination HOT 4
- Speech synthesis and machine learning HOT 2
- AC review comments HOT 5
- Web Translation API HOT 1
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from machine-learning-charter.