Web Machine Learning
Enable efficient ML inference in the browser
W3C Web Machine Learning Working Group standardizes Web APIs for in-device machine learning inference working together with the W3C ecosystem using well-received Community Group incubations as its seeds. Its sister Web Machine Learning Community Group incubates new proposals and is the place where new ideas are discussed and explored before formal standardization.
Combining the best of both worlds
by taking advantage of performant numerical computation capabilities and the reach of the web
- Low Latency
- In-browser inference enables novel use cases with local media sources.
- Privacy Preserving
- User data stays on-device and preserves user-privacy.
- High Availability
- No reliance on the network after initial asset caching enables offline use cases.
- Low Cost
- Computing on client devices means no server farms needed.