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Motivation and Background

+

+ 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. +

Enabling Machine Learning inference in the browser (as opposed e.g. to in the cloud) enhances privacy, since input data such as locally sourced images or video streams stay within the @@ -213,6 +222,11 @@

and retrieve the output when hardware execution completes. +

+ 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. +

The APIs in scope of this group will not be tied to any particular platform and will be implementable on top of existing major platform