If you opt for the local model, then your app’s machine learning features will always be available, regardless of whether the user has an active Internet connection.

Machine learning stands at the intersection of artificial intelligence and computer science, harnessing the power of data and algorithms to teach computer systems how to make accurate predictions.

Google’s ML Kit offers easy machine learning APIs for Android and iOS Mere mortals can add machine learning features to their apps with a simple API call.

Machine learning has been one of Google's main focuses for years now. To help other companies and app developers take advantage of the technology, Google today announced an API called 'ML Kit.' It ...

Currently under testing in the Gboard on Android keyboard, Federated Learning lets smartphones collaboratively pick up a shared prediction model while keeping training data on the device.

Mishaal Rahman, over at Android Authority, was able to enable this mode in the latest beta build of Android 16, though he warns that it might not be ready for the stable release in the coming months.

Ironically, to really embrace machine learning, Google needs more Android problems to feed the neural network---or better neural networks. That's not to say that Android's security record is spotless.

The common thread between Android, Google Now and Google Photos is machine learning. Can it give Google features that can't be replicated?