Get involved in @w3c and give input on all of our specs. See also youtube.com/@W3COfficial and @w3cdevs@w3c.social. By @dontcallmeDOM and @marieforgue
Joined October 2014
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "#RNNoise, Neural Speech Enhancement, and the #Browser", by Jean-Marc Valin youtube.com/nsscrYdrGRE #speech #SignalProcessing #MachineLearning
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "RNNoise, Neural #Speech Enhancement, and the #browser, by Jean-Marc Valin youtube.com/nsscrYdrGRE #SignalProcessing #MachineLearning
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "A virtual character web meeting with expression enhance power by #MachineLearning", by Zelun Chen youtube.com/5TM1c1OaxCY
First results of this new survey will be discussed at one of the #w3cTPAC public breakout sessions in 2 weeks:
w3.org/wiki/TPAC/2020/Sessio… Join the discussion!
26-30 Oct.: #w3cTPAC #BreakOutSessions week on a wide variety of topics relating to @w3c activities: w3.org/2020/10/TPAC/breakout… Some of these breakouts are open to the public. Check them out!
The MDN browser compatibility report was issued last month, and it identifies specific issues and possible solutions - Read the full 120-page report: bit.ly/2ZZdlOY (pdf, 1.9MB)
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The major identified pain points were related to browser compatibility: having to support specific browsers, making a design look/work testing across browsers, etc.
It's finally here - the new MDN Browser Compatibility Report. 🎉🎉
The report is a deeper dive into issues, attempting to identify specific issues causing a lot of frustration and what could be done to improve the situation.
📖Read the report here: mdn-web-dna.s3-us-west-2.ama…
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Last year, @MozDevNet launched the 1st edition of this #survey designed in collaboration with browser vendors and @w3c. That 2019 edition collected data from nearly 30,000 developers from which @atopal presented early results during TPAC2019:
During #w3cTPAC last month, @atopal says a big thank you to the 76K+ #Web #developers and #designers from 173 countries who participated in the @MozDevNet Developer Needs Assessment survey!
vimeo.com/showcase/6372516/v…
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The 2nd edition of the MDN Web Developer Needs Assessment is out! It is is actively used to prioritize browser roadmaps. We invite Web #developers and #designers to let browser vendors and the Web standardization community know what needs to change and what you are happy with
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W3C Developers (@w3cdevs@w3c.social) retweeted
How nice to meet everyone during the #KnowledgeGraphs construction @w3c community group kick-off session. So little time, so much to do! Looking forward to our joint discussion with the #RDB2RDF WG at 16:00 CEST! Check kg-construct.github.io/tpac-… for the full schedule! #kgc #kgcTPAC
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W3C Developers (@w3cdevs@w3c.social) retweeted
And we're off! The #KnowledgeGraphs construction @w3c community group #TPAC sessions just started! With more than 80 participants in the community group, it's bound to contain fruitful discussions! Have a look at the program at kg-construct.github.io/tpac-…! #kgc #kgcTPAC
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "#Privacy focused #MachineTranslation in #Firefox", by @XapaJIaMnu youtube.com/nuiFXBS0CJo #multilingual #MachineLearning
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "Wreck a Nice Beach in the #Browser: Getting the Browser to Recognize #Speech", by @KellyJayDavis youtube.com/OI2sHJ12Us0 #WebSpeech #API #Privacy #MachineLearning
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "Interactive #ML - Powered Music #applications on the Web", by @teropa youtube.com/TmQl5s3lP9s #MachineLearning #TensorFlowJS #MagentaJS #WebAudio
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "#Cognitive #Accessibility and #MachineLearning", by @SeemanLisa and Joshue O’Connor youtube.com/_EsXc5Afuv4 #inclusion #disability
W3C Developers (@w3cdevs@w3c.social) retweeted
Notes Telecon 2020-10-07 w3.org/blog/CSS/2020/10/08/m…
css-selectors, scroll-animations, css-fonts, css-backgrounds, css-box, css-cascade, CSSOM
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "#AI (#MachineLearning): Bias & Garbage In, Bias & Garbage Out", by @ClearHelper youtube.com/DdUgRoTKiik #Disability #fairness
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W3C Developers (@w3cdevs@w3c.social) retweeted
For review: Update to Character Model for the World Wide Web: String Matching w3c.github.io/charmod-norm/
Details at w3.org/blog/International/20…
Comments to GitHub by 21 Oct please. github.com/w3c/charmod-norm/…
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New 🎬 from the #WebMachineLearning #W3CWorkshop: "We Count: Fair Treatment, #Disability and #MachineLearning", by @juttatrevira youtube.com/3CjliYeqjrM #AI #privacy #ethics
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