Posted by Amit Chopra & Maggie Hohlfeld
2 years, 225+ agencies and 36 countries later, the Google Developers Agency Program has grown from a simple effort to connect with development agencies working on mobile apps to a global, exclusive program that recognizes and trains the best software agencies in the world.
The program's mission remains simple: identify, upskill, and promote top development agencies. It provides agencies with access to local events, hangouts, dedicated content, priority support from product and developer relations teams, and upcoming developer products.
As a way to identify top agencies who demonstrated excellence in Android development within the program and promote them, we first announced the "Certified Agency" Program at Google I/O in May 2015. Certification has now become the gold standard for Android development agencies, and has helped to push the agency ecosystem to improve as a whole.
Today we are pleased to share that we now have reached 50 Certified agencies from 15 different countries in the program.
We celebrated our newest class of Certified agencies at Google I/O, where it all began, and can't wait to see how much the program will have grown by this time next year.
Learn more about the program by clicking on Google Developers Agency program.
Posted by Aimin Zhu, University Relations Manager, Google China
Following the announcement of the 2018 China-U.S. Young Maker Competition, we are very excited that there are already over 1000 participants with over a month left before the final submission deadline! Project submissions are open to all makers, developers, and students age 18-40 in the United States. Check out the projects others are developing on the project submissions page.
Participants may choose to develop their projects using any platform. Makers and students in the US are encouraged to consider the many Google technologies and platforms available to build innovative solutions:
The project submission deadline is June 22, so there is still plenty of time to join the competition! If you have additional questions about the competition or the project submission process, please visit the contest FAQ.
The top 10 projects selected by the judges will win an all-expenses-paid trip to Beijing, China, to join the finals with Chinese makers on August 13-17. We look forward to meeting you at the final event!
For more details, please see US divitional contest landing page hosted by Hackster.io.
Posted by Karin Levi, Product Marketing, ARCore
A few weeks ago at Google I/O we released a major update to ARCore, Google's AR development platform. We added new APIs like Cloud Anchors, that enable multi-user, collaborative AR experiences and Augmented Images that enable activation of 2D images into 3D objects. All of these updates are going to change the way we use AR today and enable developers to create richer, more immersive AR apps.
With these new capabilities, we decided to put our platform to the test. So we built real experiences to showcase how these all come to life. All demos were presented at the I/O AR & VR sandbox area. We open sourced them to make sure you can see how simple it is to build these experiences. We're pretty happy with how they turned out and would love to share with you some learning and insights from behind the scenes.
Light Board is an AR multiplayer tabletop game where two players on floating game boards launch colored projectiles at each other.
While building Light Board it was important for us to keep in mind who the end users are. We wanted it to be a simple/fun game for developers to try out while visiting the I/O sandbox. The developers would only have a couple minutes to play while passing through, so it needed to allow players (even non-gamers) to pick it up and play with very little setup.
The artwork for Light Board was a major focus. Our mission for the look of the game was to align with the design and decor of I/O 2018. This way, our app would feel like an extension of everything the attendees saw around them. As a result, our design philosophy had 3 goals; bright accent colors, simple graphic shapes and natural physical materials.
Left: Design for AR/VR Sandbox at I/O 2018. Right: Key art for Light Board game boards
The artwork was created in Maya and Cinema 4D. We created physically based materials for our models using Substance Painter. Just as continuous iteration is crucial for engineering, it is also important when creating art assets. With that in mind, we kept careful track of our content pipeline, even for this relatively simple project. This allowed us to quickly try out different looks and board styles before settling on our final design.
On the engineering front we selected the Unity game engine as our dev environment. Unity gives us a couple of important advantages. First, it is easy to get great looking 3D graphics up and running right away. Second, the engine component is already complete, so we could immediately start iterating on gameplay code. As with the artwork, this allowed us to test gameplay options before we made a final decision. Additionally, Unity gave us support for both Android and iOS with only a little extra work.
To handle the multiplayer aspect we used Firebase Realtime Database. We were concerned with network performance at the event, and felt that the persistent nature of a database would make it more tolerant of poor networks. As it turned out, it worked very well and we got the ability to quit and rejoin games for free!
We had a lot of fun building Light Board and we hope people can use it as an example of how easy it can be to not only build AR apps, but to use really cool features like Cloud Anchors. Please check out our open source repo and give Light Board a try!
In March, we released Just a Line, an Android app that lets you draw in the air with your phone. It's a simple experiment meant to showcase the power of ARCore. At Google I/O, we added Cloud Anchors to the app so that two people can draw at once in the same space, even if one of them is using Android and the other iOS.
Both apps were built natively: The Android version was written in Android Studio, and the iOS version was built in xCode. ARCore's Cloud Anchors enable Just a Line to pair two phones, allowing users to draw simultaneously in a shared space. Pairing works across Android and iOS devices, and drawings are synchronized live through a Firebase Realtime Database. You can find the open-source code for iOS here and for Android here.
"Illusive Images" demo is an augmented gallery consisting of 3 artworks, each exploring a different augmented image use case and user experience. As one walks from side to side, around the object, or gazes in a specific direction, 2D artworks are married with 3D, inviting the viewer to enter into the space of the artwork spanning well beyond the physical frame.
Due to the visual design nature of our augmented images, we experimented a lot with creating databases with varying degrees of features. In order to get the best results, we iterated quickly by resizing the canvas for the artwork. We also moved and stretched the brightness and contrast levels. These variations helped to achieve the most optimal image without compromising design intent.
The app was built in Unity with ARCore, with the majority of assets created in Cinema 4D. Mograph animations were imported into Unity as an fbx, and driven entirely by the position of the user in relation to the artwork. An example project can be found here.
To make your development experience easier, we open sourced all the demos our team built. We hope you find this useful! You can also visit our website to learn more and start building AR experiences today.
Data Studio is Google's free next gen business intelligence and data visualization platform. Community Connectors for Data Studio let you build connectors to any internet-accessible data source using Google Apps Script. You can build Community Connectors for commercial, enterprise, and personal use. Learn how to build Community Connectors using the Data Studio Community Connector Codelab.
The Community Connector Codelab explains how Community Connectors work and provides a step by step tutorial for creating your first Community Connector. You can get started if you have a basic understanding of Javascript and web APIs. You should be able to build your first connector in 30 mins using the Codelab.
If you have previously imported data into Google Sheets using Apps Script, you can use this Codelab to get familiar with the Community Connectors and quickly port your code to fetch your data directly into Data Studio.
Community Connectors can help you to quickly deliver an end-to-end visualization solution that is user-friendly and delivers high user value with low development efforts. Community Connectors can help you build a reporting solution for personal, public, enterprise, or commercial data, and also do explanatory visualizations.
By building a Community Connector, you can go from scratch to a push button customized dashboard solution for your service in a matter of hours.
The following dashboard uses Community Connectors to fetch data from Stack Overflow, GitHub, and Twitter. Try using the date filter to view changes across all sources:
This dashboard uses the following Community Connectors:
You can build your own connector to any preferred service and publish it in the Community Connector gallery. The Community Connector gallery now has over 90 Partner Connectors connecting to more than 450 data sources.
Once you have completed the Codelab, view the Community Connector documentation and sample code on the Data Studio open source repository to build your own connector.
Posted by Przemek Pardel, Developer Relations Program Manager, Regional Lead
This summer, the Google Developers team is touring 10 countries and 14 cities in Europe in a colorful community bus. We'll be visiting university campuses and technology parks to meet you locally and talk about our programs for developers and start-ups.
Join us to find out how Google supports developer communities. Learn about Google Developer Groups, Women Techmakers program and the various ways we engage with the broader developer community in Europe and around the world.
Our bus will stop in the following locations between 12.00 and 4pm:
Want to meet us on the way? Sign up for the event in your city here.
Are you interested in starting a new developer community or are you an organizer who would like to join the global Google Community Program? Let us know and receive an invitation-only pass to our private events.
Posted by Mertcan Mermerkaya, Software Engineer
We have great news for web developers that use Firebase Cloud Messaging to send notifications to clients! The FCM v1 REST API has integrated fully with the Web Notifications API. This integration allows you to set icons, images, actions and more for your Web notifications from your server! Better yet, as the Web Notifications API continues to grow and change, these options will be immediately available to you. You won't have to wait for an update to FCM to support them!
Below is a sample payload you can send to your web clients on Push API supported browsers. This notification would be useful for a web app that supports image posting. It can encourage users to engage with the app.
{ "message": { "webpush": { "notification": { "title": "Fish Photos 🐟", "body": "Thanks for signing up for Fish Photos! You now will receive fun daily photos of fish!", "icon": "firebase-logo.png", "image": "guppies.jpg", "data": { "notificationType": "fishPhoto", "photoId": "123456" }, "click_action": "https://example.com/fish_photos", "actions": [ { "title": "Like", "action": "like", "icon": "icons/heart.png" }, { "title": "Unsubscribe", "action": "unsubscribe", "icon": "icons/cross.png" } ] } }, "token": "<APP_INSTANCE_REGISTRATION_TOKEN>" } }
Notice that you are able to set new parameters, such as actions, which gives the user different ways to interact with the notification. In the example below, users have the option to choose from actions to like the photo or to unsubscribe.
To handle action clicks in your app, you need to add an event listener in the default firebase-messaging-sw.js file (or your custom service worker). If an action button was clicked, event.action will contain the string that identifies the clicked action. Here's how to handle the "like" and "unsubscribe" events on the client:
like
unsubscribe
// Retrieve an instance of Firebase Messaging so that it can handle background messages. const messaging = firebase.messaging(); // Add an event listener to handle notification clicks self.addEventListener('notificationclick', function(event) { if (event.action === 'like') { // Like button was clicked const photoId = event.notification.data.photoId; like(photoId); } else if (event.action === 'unsubscribe') { // Unsubscribe button was clicked const notificationType = event.notification.data.notificationType; unsubscribe(notificationType); } event.notification.close(); });
The SDK will still handle regular notification clicks and redirect the user to your click_action link if provided. To see more on how to handle click actions on the client, check out the guide.
Since different browsers support different parameters in different platforms, it's important to check out the browser compatibility documentation to ensure your notifications work as intended. Want to learn more about what the Send API can do? Check out the FCM Send API documentation and the Web Notifications API documentation. If you're using the FCM Send API and you incorporate the Web Notifications API in a cool way, then let us know! Find Firebase on Twitter at @Firebase, and Facebook and Google+ by searching "Firebase".
Over one billion people in the world have some form of disability.
That's why we make accessibility a core consideration when we develop new products—from concept to launch and beyond. It's good for users and good for business: Building products that don't consider a diverse range of needs could mean missing a substantial group of potential users and customers.
But impairments and disabilities are as varied as people themselves. For designers, developers, marketers or small business owners, making your products and designs more accessible might seem like a daunting task. How can you make sure you're being more inclusive? Where do you start?
Today, Global Accessibility Awareness Day, we're launching a new suite of resources to help creators, marketers, and designers answer those questions and build more inclusive products and designs.
The first step is learning about accessibility. Simply start by downloading the Google Primer app and search "accessibility." You'll find five-minute lessons that help you better understand accessibility, and learn practical tips to start making your own business, products and designs more accessible, like key design principles for building a more accessible website. You may even discover that addressing accessibility issues can improve the user experience for everyone. For instance, closed captions can make your videos accessible to more people whether they have a hearing impairment or are sitting in a crowded room.
Next, visit the Google Accessibility page and discover free tools that can help you make your site or app more accessible for more people. The Android Developers site also contains a wide range of suggestions to help you improve the accessibility of your app.
We hope these resources will help you join us in designing and building for a more inclusive future. After all, an accessible web and world is a better one—both for people and for business.
"Excited to see the new lessons on accessibility that Primer launched today. They help us learn how to start making websites and products more accessible. With over 1 billion people in the world with some form of disability, building a more inclusive web is the right thing to do both for people and for business." - Ari Balogh, VP Engineering
Posted by Wesley Chun (@wescpy), Developer Advocate, G Suite
We recently introduced Hangouts Chat to general availability. This next-generation messaging platform gives G Suite users a new place to communicate and to collaborate in teams. It features archive & search, tighter G Suite integration, and the ability to create separate, threaded chat rooms. The key new feature for developers is a bot framework and API. Whether it's to automate common tasks, query for information, or perform other heavy-lifting, bots can really transform the way we work.
In addition to plain text replies, Hangouts Chat can also display bot responses with richer user interfaces (UIs) called cards which can render header information, structured data, images, links, buttons, etc. Furthermore, users can interact with these components, potentially updating the displayed information. In this latest episode of the G Suite Dev Show, developers learn how to create a bot that features an updating interactive card.
As you can see in the video, the most important thing when bots receive a message is to determine the event type and take the appropriate action. For example, a bot will perform any desired "paperwork" when it is added to or removed from a room or direct message (DM), generically referred to as a "space" in the vernacular.
Receiving an ordinary message sent by users is the most likely scenario; most bots do "their thing" here in serving the request. The last event type occurs when a user clicks on an interactive card. Similar to receiving a standard message, a bot performs its requisite work, including possibly updating the card itself. Below is some pseudocode summarizing these four event types and represents what a bot would likely do depending on the event type:
function processEvent(req, rsp) { var event = req.body; // event type received var message; // JSON response message if (event.type == 'REMOVED_FROM_SPACE') { // no response as bot removed from room return; } else if (event.type == 'ADDED_TO_SPACE') { // bot added to room; send welcome message message = {text: 'Thanks for adding me!'}; } else if (event.type == 'MESSAGE') { // message received during normal operation message = responseForMsg(event.message.text); } else if (event.type == 'CARD_CLICKED') { // user-click on card UI var action = event.action; message = responseForClick( action.actionMethodName, action.parameters); } rsp.send(message); };
The bot pseudocode as well as the bot featured in the video respond synchronously. Bots performing more time-consuming operations or those issuing out-of-band notifications, can send messages to spaces in an asynchronous way. This includes messages such as job-completed notifications, alerts if a server goes down, and pings to the Sales team when a new lead is added to the CRM (Customer Relationship Management) system.
Hangouts Chat supports more than JavaScript or Python and Google Apps Script or Google App Engine. While using JavaScript running on Apps Script is one of the quickest and simplest ways to get a bot online within your organization, it can easily be ported to Node.js for a wider variety of hosting options. Similarly, App Engine allows for more scalability and supports additional languages (Java, PHP, Go, and more) beyond Python. The bot can also be ported to Flask for more hosting options. One key takeaway is the flexibility of the platform: developers can use any language, any stack, or any cloud to create and host their bot implementations. Bots only need to be able to accept HTTP POST requests coming from the Hangouts Chat service to function.
At Google I/O 2018 last week, the Hangouts Chat team leads and I delivered a longer, higher-level overview of the bot framework. This comprehensive tour of the framework includes numerous live demos of sample bots as well as in a variety of languages and platforms. Check out our ~40-minute session below.
To help you get started, check out the bot framework launch post. Also take a look at this post for a deeper dive into the Python App Engine version of the vote bot featured in the video. To learn more about developing bots for Hangouts Chat, review the concepts guides as well as the "how to" for creating bots. You can build bots for your organization, your customers, or for the world. We look forward to all the exciting bots you're going to build!
On May 1 we announced .app, the newest top-level domain (TLD) from Google Registry. It's now open for general registration so you can register your desired .app name right now. Check out what some of our early adopters are already doing on .app around the globe.
We begin our journey with sitata.app, which provides real-time travel information about events like protests or transit strikes. Looks all clear, so our first stop is the Caribbean, where we use thelocal.app and start exploring. After getting some sun, we fly to the Netherlands, where we're feeling hungry. Luckily, picnic.app delivers groceries, right to our hotel. With our bellies full, it's time to head to India, where we use myra.app to order the medicine, hygiene, and baby products that we forgot to pack. Did we mention this was a business trip? Good thing lola.app helped make such a complex trip stress free. Time to head home now, so we slip on a hoodie we bought on ov.app and enjoy the ride.
We hope these apps inspire you to also find your home on .app! Visit get.app to choose a registrar partner to register your domain.
Posted by Brahim Elbouchikhi, Product Manager
In today's fast-moving world, people have come to expect mobile apps to be intelligent - adapting to users' activity or delighting them with surprising smarts. As a result, we think machine learning will become an essential tool in mobile development. That's why on Tuesday at Google I/O, we introduced ML Kit in beta: a new SDK that brings Google's machine learning expertise to mobile developers in a powerful, yet easy-to-use package on Firebase. We couldn't be more excited!
Getting started with machine learning can be difficult for many developers. Typically, new ML developers spend countless hours learning the intricacies of implementing low-level models, using frameworks, and more. Even for the seasoned expert, adapting and optimizing models to run on mobile devices can be a huge undertaking. Beyond the machine learning complexities, sourcing training data can be an expensive and time consuming process, especially when considering a global audience.
With ML Kit, you can use machine learning to build compelling features, on Android and iOS, regardless of your machine learning expertise. More details below!
If you're a beginner who just wants to get the ball rolling, ML Kit gives you five ready-to-use ("base") APIs that address common mobile use cases:
With these base APIs, you simply pass in data to ML Kit and get back an intuitive response. For example: Lose It!, one of our early users, used ML Kit to build several features in the latest version of their calorie tracker app. Using our text recognition based API and a custom built model, their app can quickly capture nutrition information from product labels to input a food's content from an image.
ML Kit gives you both on-device and Cloud APIs, all in a common and simple interface, allowing you to choose the ones that fit your requirements best. The on-device APIs process data quickly and will work even when there's no network connection, while the cloud-based APIs leverage the power of Google Cloud Platform's machine learning technology to give a higher level of accuracy.
See these APIs in action on your Firebase console:
Heads up: We're planning to release two more APIs in the coming months. First is a smart reply API allowing you to support contextual messaging replies in your app, and the second is a high density face contour addition to the face detection API. Sign up here to give them a try!
If you're seasoned in machine learning and you don't find a base API that covers your use case, ML Kit lets you deploy your own TensorFlow Lite models. You simply upload them via the Firebase console, and we'll take care of hosting and serving them to your app's users. This way you can keep your models out of your APK/bundles which reduces your app install size. Also, because ML Kit serves your model dynamically, you can always update your model without having to re-publish your apps.
But there is more. As apps have grown to do more, their size has increased, harming app store install rates, and with the potential to cost users more in data overages. Machine learning can further exacerbate this trend since models can reach 10's of megabytes in size. So we decided to invest in model compression. Specifically, we are experimenting with a feature that allows you to upload a full TensorFlow model, along with training data, and receive in return a compressed TensorFlow Lite model. The technology behind this is evolving rapidly and so we are looking for a few developers to try it and give us feedback. If you are interested, please sign up here.
Since ML Kit is available through Firebase, it's easy for you to take advantage of the broader Firebase platform. For example, Remote Config and A/B testing lets you experiment with multiple custom models. You can dynamically switch values in your app, making it a great fit to swap the custom models you want your users to use on the fly. You can even create population segments and experiment with several models in parallel.
Other examples include:
We can't wait to see what you'll build with ML Kit. We hope you'll love the product like many of our early customers:
Get started with the ML Kit beta by visiting your Firebase console today. If you have any thoughts or feedback, feel free to let us know - we're always listening!
