Android app developers will soon have a specialized version of TensorFlow to work with on mobile devices. TensorFlow Lite, which will be part of the TensorFlow open source project, will let ...

Google has announced a new mobile ML stack, dubbed Android ML Platform and built around TensorFlow Lite, which aims to solve a number of problems that developers find when using on-device machine ...

While discussing the future of Android at Google I/O, Dave Burke, a VP of engineering, announced a new version of TensorFlow optimized for mobile called TensorFlow lite. The new library will allow ...

The new Google TensorFlow Lite will soon make Android systems smarter. Users can now expect AI-enhanced features.

Qualcomm created a solution largely in search of a problem when they optimized the Snapdragon 835 to run TensorFlow applications natively and efficiently on-device, and now Google, has created ...

Android Studio 4.1: easier to add on-device TensorFlow Lite models, run Android Emulator directly, more foldable form factors, and Database Inspector.

One of the many announcements from I/O 2017 was TensorFlow Lite for machine learning on mobile devices. Starting today, the Android and iOS optimized version of the ML library is now available as ...

Also new is improved support for TensorFlow Lite models in Android Studio, so that developers can bring those models to their apps, as well as a new database inspector that helps developers get ...

Another key improvement in Android Studio 4.1 is support for TensorFlow Lite models. Google wrote in a blog post, "Android developers are using machine learning to create innovative and helpful ...

Following a rebrand of Google’s IoT OS last December, a new developer preview of Android Things is available with bug fixes and other features based on developer feedback. The most notable ...