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...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Apps, Digital Health, mHealth, Technology
Harnessing AI to reshape consumer experiences in healthcare
AI agents’ momentum won’t stop in 2025
The cybersecurity provider’s next opportunity: Making AI safer
6 pros and cons of virtual nursing
OpenAI launches ChatGPT desktop integrations, rivaling Copilot

Share This Article