Android Oreo, the next major version of Android operating system after Android Nougat was announced officially for public on 21st August, 2017. it was released earlier in beta stages for developers on 21st March, 2017.
2x faster : Get started on your favorite tasks more quickly with 2x the boot speed when powering up.
Background limits : Android Oreo helps minimize background activity in the apps you use least, it’s the super power you can’t even see.
Autofill : With your permission, Autofill remembers your logins to get you into your favorite apps at supersonic speed.
Picture-in-Picture : Allows you to see two apps at once, it’s like having super strength and laser vision.
Notification Dots : Press the notification dots to quickly see what’s new, and easily clear them by swiping away.
Android Instant Apps : Teleport directly into new apps right from your browser, no installation needed.
Google Play Protect : Working to keep your device and data safe from misbehaving apps by scanning over 50 billion apps per day, even the ones you haven’t installed yet.
Emoji : fully redesigned emoji with over 60 new emoji.
A new homescreen for Android TV : it makes it easy for users to find, preview, and watch content provided by apps. Apps can publish one or more channels, and users can control the channels that appear on the homescreen. You’ll be able to get started with creating channels using the new TvProvider support library APIs.
Smart Text Selection : In Android O, we’re applying on-device machine learning to copy/paste, to let Android recognize entities like addresses, URLs, telephone numbers, and email addresses. This makes the copy/paste experience better by selecting the entire entity and surfacing the right apps to carry out an action based on the type of entity.
TensorFlow Lite : As Android continues to take advantage of machine learning to improve the user experience, we want our developer partners to be able to do the same. Today we shared an early look at TensorFlow Lite, an upcoming project based on TensorFlow, Google’s open source machine learning library. TensorFlow Lite is specifically designed to be fast and lightweight for embedded use cases. Since many on-device scenarios require real-time performance, we’re also working on a new Neural Network API that TensorFlow can take advantage of to accelerate computation. We plan to make both of these available to developers in a maintenance update to O later this year, so stay tuned!