Machine learning for Accessibility | Session

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Published on ● Video Link: https://www.youtube.com/watch?v=e5cEEwAGruk



Duration: 12:12
3,914 views
110


Explore three case studies covering Voice Access, Lookout, and Live Transcribe along with Sound Notifications. We also look at the intersection between Google’s machine learning research and Accessibility with takeaways for all Android developers.

Resources:
Voice Access → https://g.co/voiceaccess
Lookout → https://goo.gle/lookout
Google Developers ML Kit → https://goo.gle/3xyC3F6

Speakers: Tom Hume, Scott Adams, Sagar Savla

Watch more:
Google Developers at Google I/O 2021 Playlist → https://goo.gle/io21-GoogleDevelopers
All Google I/O 2021 Technical Sessions → https://goo.gle/io21-technicalsessions
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions

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#GoogleIO #Accessibility #ML/AI


product: Cloud - AI and Machine Learning - AI Platform; event: Google I/O 2021; fullname: Tom Hume, Scott Adams, Sagar Savla; re_ty: Premiere;







Tags:
purpose: Educate
type: Conference Talk (Full production)
pr_pr: Google I/O
Machine learning accessibility
Voice access
lookout
live transcribe
sound notification
Google machine learning
android developers
accessibility
Accessibility development
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AI developer
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machine learning
ML development
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#GoogleIO
Google I/O
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