Deploy machine learning and AI models on-device with Core ML

WWDC Index does not host video files

If you have access to video files, you can configure a URL pattern to be used in a video player.

Use any of these variables in your URL pattern, the pattern is stored in your browsers' local storage.

$id
ID of session: wwdc2024-10161: $eventId
ID of event: wwdc2024: $eventContentId
ID of session without event part: 10161: $eventShortId
Shortened ID of event: wwdc24: $year
Year of session: 2024: $extension
Extension of original filename: mp4: $filenameAlmostEvery
Filename from "(Almost) Every..." gist: ...

WWDC24 • Session 10161

Machine Learning & AI • iOS, macOS, watchOS • 18:15

Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.

Speaker: Joshua Newnham

Open in Apple Developer site

Downloads from Apple

HD Video (89.8 MB)
SD Video (33.1 MB)