Android development is not limited to cute little apps that split the bill in restaurants (that seems to be everyone’s “genius app idea,” or is it just me?). Android is a powerful platform with ...

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 developers ...

XNNPack and TensorFlow Lite now support efficient inference of sparse networks. Researchers demonstrated substantial speedups in inference times on realtime gesture detection and background blur apps.

In this photo illustration, The Google logo is projected onto a man on August 09, 2017 in London, England. by Leon Neal/Getty Images This new machine learning framework designed by Google Brain Team ...

Google has introduced LiteRT, a next-generation on-device machine learning framework evolving from TensorFlow Lite, designed for high-performance AI and generative AI deployment on edge devices. The ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today launched Android Studio 4.1, the latest version of its ...

Google thinks smartphones will soon be powerful enough to do certain types of AI tasks that previously had to be done on powerful computers in data centers. It's releasing tools to help app makers ...