VentureBeat June 24, 2020
Khari Johnson

Apple today introduced upgrades for its Core ML machine learning framework, including model encryption using Xcode and Core ML Model Deployment, a way to store and launch models and update AI independent of the app update cycle. AI within apps can power a range of features from classification of natural language or images to analysis of speech, sounds, and other media.

“In the past, you would have to push more app updates just to get the newer models in your user’s hands. Now with model deployment, you can quickly and easily update your models without updating the app itself,” Apple engineer Anil Katti said in a WWDC session.

Core ML Model Deployment also gives...

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Topics: AI (Artificial Intelligence), Apps, Digital Health, mHealth, Technology
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