AI/ML everywhere - every product announcement has ‘AI at Core’ • Easier to make (Android) apps with intelligence: ◦ ML Kit ◦ TensorFlow Lite ◦ Actions on Google • Easier to get started with TensorFlow and deep learning 3
to make an appointment • Photos new features and new API • Lens to be integrated into camera (currently in Photos & Assistant) • Maps uses AR to help navigation your directions • News got revamped and uses AI to to curate the news. • Android P’s major updates are all focused on intelligence, in addition to simplicity and digital well being. • AR, Computer vision / cameras, Waymo self driving cars are use deep learning. 5
Define the actions in the actions.xml file 2. Personalize action suggestions by integrating usage logging into the app (Firebase app indexing) 3. Expand the reach of app beyond Android by build conversational actions 4. Enhance Actions with Slices , a new UI framework for surfacing deep in app content. 6
learning expertise to mobile developers in a powerful and easy-to-use package. Powered by TF Lite, with the help if Firebase, ML kits offers: • Dynamic model downloads • A/B testing (via Firebase remote Configuration) • Model compression & conversion (from TensorFlow to TF Lite) 9
both web and mobile • Connect — access their libraries of photos in your app • Upload — photo to a user’s photos library • Share — a photo from my app Smart Filter • Content categories • Date created • Media type • Photo albums 10
from I/O 2018 (my blog) • TensorFlow at Google I/O 2018 (TensorFlow blog) • 100 Things We Announced at I/O 18 (on Google Blog) • I/O 2018 All Sessions (on YouTube) • I/O 2018 Codelabs 11