Two years ago, we launched ARCore, our developer platform for building augmented reality (AR) experiences. Since then, we’ve seen developers create thousands of AR apps across Android and iOS that transform the way people play, shop, learn and create together. To enable even more shared cross-platform AR experiences, we’re announcing new updates to ARCore’s Augmented Faces and Cloud Anchors APIs.
Augmented Faces on iOS
Earlier this year, we announced our Augmented Faces API, which offers a high-quality, 468-point 3D mesh that lets users attach fun effects to their faces — all without a depth sensor on their smartphone. With the addition of iOS support rolling out today, developers can now create effects for more than a billion users. We’ve also made the creation process easier for both iOS and Android developers with a new face effects template.
Improvements to Cloud Anchors
Last year, we introduced the Cloud Anchors API, which lets developers create shared AR experiences across Android and iOS. Cloud Anchors let devices create a 3D feature map from visual data onto which anchors can be placed. The anchors are hosted in the cloud so multiple people can use them to enable shared real world experiences. Cloud Anchors power a wide variety of cross-platform apps, like Just a Line, PHAROS AR and Spacecraft AR.
In our latest ARCore update, we’ve made some improvements to the Cloud Anchors API that make hosting and resolving anchors more efficient and robust. This is due to improved anchor creation and visual processing in the cloud. Now, when creating an anchor, more angles across larger areas in the scene can be captured for a more robust 3D feature map. Once the map is created, the visual data used to create the map is deleted and only anchor IDs are shared with other devices to be resolved. Moreover, multiple anchors in the scene can now be resolved simultaneously, reducing the time needed to start a shared AR experience.
These updates to Cloud Anchors are available for developers today.
Persistent Cloud Anchors and Call for Collaborators
As we look to the future, we’re taking steps to expand the scale and timeline of shared AR experiences with persistent Cloud Anchors. We see this as enabling a “save button” for AR, so that digital information overlaid on top of the real world can be experienced at anytime.
Imagine working together on a redesign of your home throughout the year, leaving AR notes for your friends around an amusement park, or hiding AR objects at specific places around the world to be discovered by others.
Persistent Cloud Anchors are powering Mark AR, a social app being developed by Sybo and iDreamSky that lets people create, discover, and share their AR art with friends and followers in real-world locations. With persistent Cloud Anchors, users can continuously return back to their pieces as they create and collaborate over time.
Mark AR is an app that lets people create and discover AR art in real-world locations.
Reliably anchoring AR content for every use case—regardless of surface, distance, and time—pushes the limits of computation and computer vision because the real world is diverse and always changing. By enabling a “save button” for AR, we’re taking an important step toward bridging the digital and physical worlds to expand the ways AR can be useful in our day-to-day lives.
We’re currently looking for more developers to help us explore and test persistent Cloud Anchors in real world apps at scale, before making the feature broadly available. If you’re interested in early access, you can apply here.
This week is a big one for Flutter! Today, at Google Developer Days, our flagship conference for Chinese developers, we used the keynote to announce our latest stable release: Flutter 1.9. This release is our biggest update yet with more than 1,500 PRs from more than 100 contributors. The new features and updates span a wide range, from support for macOS Catalina and iOS 13 to improved tooling support, as well as new Dart language features and new Material widgets.
At the keynote, we also announced a major milestone for Flutter’s web support, with the successful integration of Flutter’s web support into the main Flutter repository, allowing developers to write for mobile, desktop and web with the same codebase. And we showcased Tencent, one of the largest worldwide internet brands, who are using Flutter in a growing number of their mobile apps.
Let’s take a deeper look at this week’s news, starting with what’s new in Flutter 1.9.
As Apple prepares to release Catalina, the latest version of macOS, we’ve worked hard to make sure that Flutter is ready for you to upgrade. We’ve updated the end-to-end tooling experience to ensure it works well on Catalina and with Xcode 11. This includes adding support for the new Xcode build system, enabling 64-bit support throughout the toolchain, and simplifying platform dependencies.
With iOS 13 on the way, we’ve also been working to ensure your Flutter apps look great on the latest iPhone release. Flutter 1.9 includes an implementation of the iOS 13 draggable toolbar, with both long-press and drag-from-right, and supports vibration feedback. Work on iOS dark mode is also well underway with a number of pull requests already merged.
Finally, in the latest development builds, you can now turn on experimental support for Bitcode, which is Apple’s platform-independent intermediate representation of a compiled program. Submitting your app as Bitcode allows Apple to optimize your binary in the future without resubmission, and opens the door to Flutter potentially supporting platforms like watchOS and tvOS that require Bitcode for app submission.
The Material components and features also get an upgrade in Flutter 1.9. Material is one of the world’s leading open-source design systems, providing a comprehensive, flexible set of building blocks for implementing interactive user experiences across many platforms.
In this release, we provide several new widgets including ToggleButtons (left) and ColorFiltered (right).
ToggleButtons
ColorFiltered
The ToggleButtons widget bundles a row of ToggleButton widgets together, often composed of a set of Icon and Text widgets, to form a set of buttons with fully customizable look and behavior. Do you want single selection or multi-select? Do you want to require at least one selection or allow none? Do you want square or rounded edges, thick or thin borders, icons or text, etc? You can see some of these options above on the left and see how they’re implemented in the ToggleButtons sample.
ToggleButton
Icon
Text
As shown in the image above on the right, the ColorFiltered widget allows you to recolor a tree of child widgets just like you can recolor an image using one of several different algorithms (some of which are shown in the example screenshot above). This has many uses, for example, handling color blindness accessibility issues for your users. To see this in action, check out the ColorFiltered sample.
We’ve also added support for 24 new languages, from Afrikaans to Zulu.
The end-to-end developer experience depends not just on the features of Flutter but also on the underlying language itself. As part of the Flutter 1.9 release, we are also releasing Dart 2.5. Dart 2.5 includes a pre-release of Foreign Function Interface (FFI) support, providing native extensions so Dart can call directly into code written in C. It also introduces machine learning-powered code completions for the IDE. You can learn about both of these and more in the Dart 2.5 announcement.
With this release, new projects default to Swift instead of Objective-C and Kotlin instead of Java for iOS and Android projects respectively. Since many packages are written with Swift, making it the default language removes manual work for adding those packages to an app created with the default options. Swift 5 is ABI stable, and thanks to app thinning work Apple has done in recent releases, the Swift dynamic libraries no longer need to be included in the distribution package for iOS 12.2 or greater, reducing the size of Swift applications compared to previous releases.
And as Kotlin is now the default language for new projects in Android Studio, it seems natural to make the language switch for Android also. These options are now the default for both the flutter CLI tool and the IntelliJ/Android Studio and VS Code plugins for Flutter, but you can always switch back to Objective-C or Java if you prefer.
flutter
Additionally, we’ve been working to improve Flutter’s error messages by making them more readable, more concise and more actionable.
The Flutter User Experience team has led the charge on this project; you can read the details in a separate blog post covering the work on structured error display. We’ve just started to apply these new patterns, and you can expect more error messages to take advantage of this work in coming releases.
And finally, we are very happy to announce that the flutter_web repository is deprecated now that web support has been merged into the main flutter repository! What this means is that if you have the latest builds of Flutter from the master or dev channel, you can target the web with the latest experimental version of Flutter by running flutter run -d chrome.
flutter run -d chrome
When you create a project, Flutter now creates a web runner via a minimal web/index.html file that bootstraps your web-compiled Flutter code. With that file in place, you can use the Flutter CLI tool or the IDE plugins to edit and run Flutter apps on the web.
web/index.html
Above is a screenshot of VS Code with web support enabled for Flutter. Notice the web/index.html file, along with the dropdown list allowing you to choose Chrome as your target development device. Support for web output with Flutter is still at an early phase, but this release represents a major step forward towards enabling production support for web development with Flutter.
At the end of July, we announced an early adopter program designed to get a group of select Flutter applications deployed to production on the web over the next six to twelve months. We received over 1,000 submissions to the program. Unfortunately, we don’t have the capacity to support everyone who applied to join the program, but now web support is merged into the Flutter framework, we’re excited that everyone can now experiment with this capability.
Some community experiments have already showcased Flutter’s web output:
Flutter Widget Livebook (left) is built with Flutter for web and shows Flutter widgets running live in your browser. Panache (right) is a tool for creating themes for Flutter which you can then download and drop directly into your code.
Please give this updated experimental support for Flutter on the web a try and let us know if you have any feedback.
We’re thrilled to see continuing fast growth and adoption of for Flutter. Here at Google, hundreds of developers are working on more than twenty projects using Flutter, including some that are released and many that are still in development. At GDD China this week, we highlighted how Tencent, one of the largest internet brands, is using Flutter pervasively for a wide variety of projects:
Switching gears to something just for fun, if you have Google Assistant on your phone or one of the Google Nest Hub devices, try saying “OK Google. Talk to Flutter Widget Quiz.” We loved seeing this community-powered quiz that tests your knowledge of Flutter.
We love the support we’ve received from the developer community, whether in the form of blogs and articles, published apps or issues and code contributions. For more details on upgrading to Flutter 1.9, including details on how to fix any breaking changes that you might experience as you migrate your code, check out the detailed Flutter 1.9 release notes.
There’s a ton for you to try with this release, from trying out the new dart:ffi or ML-based code completion features to experimenting with Flutter for web; from the new support for Catalina and iOS 13 and new ToggleButtons and ColorFilter widgets to testing yourself on your Flutter widget knowledge.
Now that you’ve got Flutter 1.9 in your hands, we’re excited to see what you will build with it!
Whether you're a city planner, a small business owner, or a software developer, gaining useful insights from data can help make services work better and answer important questions. But, without strong privacy protections, you risk losing the trust of your citizens, customers, and users.
Differentially-private data analysis is a principled approach that enables organizations to learn from the majority of their data while simultaneously ensuring that those results do not allow any individual's data to be distinguished or re-identified. This type of analysis can be implemented in a wide variety of ways and for many different purposes. For example, if you are a health researcher, you may want to compare the average amount of time patients remain admitted across various hospitals in order to determine if there are differences in care. Differential privacy is a high-assurance, analytic means of ensuring that use cases like this are addressed in a privacy-preserving manner.
Today, we’re rolling out the open-source version of the differential privacy library that helps power some of Google’s core products. To make the library easy for developers to use, we’re focusing on features that can be particularly difficult to execute from scratch, like automatically calculating bounds on user contributions. It is now freely available to any organization or developer that wants to use it.
A deeper look at the technology
Our open source library was designed to meet the needs of developers. In addition to being freely accessible, we wanted it to be easy to deploy and useful.
Here are some of the key features of the library:
Investing in new privacy technologies
We have driven the research and development of practical, differentially-private techniques since we released RAPPOR to help improve Chrome in 2014, and continue to spearhead their real-world application.
We’ve used differentially private methods to create helpful features in our products, like how busy a business is over the course of a day or how popular a particular restaurant’s dish is in Google Maps, and improve Google Fi.
This year, we’ve announced several open-source, privacy technologies—Tensorflow Privacy, Tensorflow Federated, Private Join and Compute—and today’s launch adds to this growing list. We're excited to make this library broadly available and hope developers will consider leveraging it as they build out their comprehensive data privacy strategies. From medicine, to government, to business, and beyond, it’s our hope that these open-source tools will help produce insights that benefit everyone.
Acknowledgements
Software Engineers: Alain Forget, Bryant Gipson, Celia Zhang, Damien Desfontaines, Daniel Simmons-Marengo, Ian Pudney, Jin Fu, Michael Daub, Priyanka Sehgal, Royce Wilson, William Lam
