Apple today introduced Core ML 3, the latest iteration of its machine learning model framework for iOS developers bringing machine intelligence to smartphone apps.

Core ML 3 will for the first time be able to provide training for on-device machine learning to deliver personalized experiences with iOS apps.

The ability to train multiple models with different data sets will also be part of a new Create ML app on macOS for applications like object detection and identifying sounds.

Apple’s machine learning framework will be able to support more than 100 model layer types.

On-device machine learning is growing in popularity as a way to deploy quickly on the edge and respect privacy.

Solutions for popular frameworks like Google’s TensorFlow and Facebook’s PyTorch to supply on-device machine learning through approaches like federated learning arrived in recent months.

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