# W3C Web Machine Learning Working Group The W3C standards body developing and ratifying web-based machine learning APIs. Coordinates cross-browser implementation of ML specifications, maintains technical documents, and facilitates community contributions. Commonly called the WebML WG. Homepage: https://www.w3.org/groups/wg/webmachinelearning/ GitHub org: https://github.com/webmachinelearning ## Charter and Scope - Chartered through April 2027 - Produces normative W3C specifications for browser-native ML - Coordinates with browser vendors (Google, Microsoft, Apple, Mozilla) for implementation - Operates the [[WebMachineLearning]] GitHub organization ## Key Deliverables | Specification | Status (2026) | |---|---| | [[WebNN API]] | W3C Candidate Recommendation | | [[Prompt API]] | Early incubation | | [[Writing Assistance APIs]] | Early incubation | | Translation API | Incubation | | Proofreader API | Incubation | ## How It Relates to Other W3C Groups - **Web Platform Incubation Community Group (WICG)**: early-stage proposals incubate here before moving to the WG - **W3C Web Performance WG**: aligned on hardware access and performance primitives ## Why It Matters Standardization ensures that ML capabilities on the web are: - Interoperable across browsers without vendor-specific SDKs - Built with security and privacy considerations baked into specs - Stable APIs that developers can depend on long-term ## References - https://www.w3.org/groups/wg/webmachinelearning/ - https://github.com/webmachinelearning ## Related - [[WebMachineLearning]] - [[WebNN API]] - [[Prompt API]] - [[Writing Assistance APIs]] - [[Machine Learning (ML)]] - [[On-Device Machine Learning]]