Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...
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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
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 ...
Google launched version 4.1 of Android Studio, its IDE for developing Android apps, into its stable channel today. As usual for Android Studio, the minor uptick in version numbers doesn’t quite do the ...
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 that ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
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 ...
Corbin is a tech journalist and developer who worked at Android Police from 2016 until 2021. Check out his other work at corbin.io. Android Studio is the recommended development environment for ...
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 ...
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 a ...
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