The Web Machine Learning WG invites implementations of an updated Candidate Recommendation Snapshot of Web Neural Network API. This document describes a dedicated low-level API for neural network inference hardware acceleration.
The Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine Learning capabilities of operating systems and underlying hardware platforms without being tied to platform-specific capabilities.
https://www.w3.org/news/2024/updated-candidate-recommendation-web-neural-network-api/
World Wide Web Consortium /
npub1dt…pcyr4
2024-04-16 11:30:00
Author Public Key
npub1dtnha9ulhx8vcxg9vxwsw0p7n5d5y3q76a9l9p4me4hv0xw4htlqtpcyr4Published at
2024-04-16 11:30:00Event JSON
{
"id": "ea0b55e7a53f5f17bf5776008050c036ab5bf00bcd0f485036b056c73738260a",
"pubkey": "6ae77e979fb98ecc1905619d073c3e9d1b42441ed74bf286bbcd6ec799d5bafe",
"created_at": 1713267000,
"kind": 1,
"tags": [
[
"proxy",
"https://w3c.social/users/w3c/statuses/112280666175576975",
"activitypub"
]
],
"content": "The Web Machine Learning WG invites implementations of an updated Candidate Recommendation Snapshot of Web Neural Network API. This document describes a dedicated low-level API for neural network inference hardware acceleration. \n\nThe Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine Learning capabilities of operating systems and underlying hardware platforms without being tied to platform-specific capabilities.\n\nhttps://www.w3.org/news/2024/updated-candidate-recommendation-web-neural-network-api/",
"sig": "f19e835a5f2db24fa155144c8f51947a6c8f2bc3dfcae1e1cddde57e39f521ad48596e8fd1a613c9dc61ac1729cb50ee997bb89db431668348542c0cf4833a42"
}