Introducing our last (but not least) set of demos of not-yet-standards-track work at @w3c #w3cdevs2018 meetup October 22 in #Lyon: #MachineLearning for the Web w3.org/2018/10/Meetup/demos.… #OFFBlendWebMix

Demos at W3C Developer Meetup in Lyon, France - 22 October 2018

On Oct 22 2018, @w3cdevs invite the public and @w3c members to #W3Cdevs2018 to gather for an evening of demonstrations, presentations, and discussions with the W3C community in #Lyon 🇫🇷. Particip...

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A related #CommunityGroup on Machine Learning for the Web is under preparation, with the objective to incubate dedicated low-level Web #APIs for machine learning inference in #WebBrowser and in products using modern Web engines
Anssi Kostiainen @anssik@mastodon.social @anssik
26 Sep 2018
🚀 Thrilled to announce the launch of the @W3C Machine Learning for the Web Community Group is getting close. ✨ Charter now public: webmachinelearning.github.io… 🎬 Sneak peek: real-time object detection in browser youtube.com/watch?v=XGgiDU…
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.@NingxinHu (@intel) will present three demos of #MachineLearning for the Web. 1) making real-time object detection in browser a reality for compelling immersive Web experiences and more #ImmersiveWeb #MachineLearning youtube.com/watch?v=XGgiDU-8…

Real-time ssd mobilenet with WebML

Real-time SSD MobileNet object detection running in Chromium WebML POC on MBP. Check it out:https://huningxin.github.io/webml-examples/examples/ssd_mobilenet...

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2) image classification in the browser that works offline without dependency on cloud infrastructure. #MachineLearning

Sep 27, 2018 · 12:28 PM UTC

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3) real-time human pose estimation in the browser enabling new class of experiences on the Web ranging from fitness, interactive installations to augmented reality #ImmersiveWeb #MachineLearning
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All these demos and more will be shown at the #w3cdevs2018 #DevMeetup on October 22 in #Lyon. This event is free but you need to register! ti.to/w3c/w3c-developer-meet…