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.

This is the same on-device machine learning model Google uses for Android 10’s Live Caption feature. The model identifies different sounds like a dog barking or a musical instrument playing.

At re:Invent 2022, Amazon Web Services announced the general availability of forecasting, capacity planning, scheduling, and Contact Lens features for its Amazon Connect contact center service ...

ML Kit will also offer an option to decouple a machine learning model from an app and store the model in the cloud. Since these models can be "tens of megabytes in size," according to Google ...

The Federated Learning approach, according to the company, allows for machine learning models to be trained from actual user interaction with their Android devices.

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.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

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? Written by Larry Dignan, Contributor May 28, 2015 at 11: ...