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 ...

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 ...

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 ...

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 ...

The popular machine learning framework from Google called TensorFlow has become the most popular machine learning library in the world, with over 160 million downloads.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.