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Google Developer Student Club 2021 Lead applications are open!

Posted by Erica Hanson, Global Program Manager, Google Developer Student Clubs

Hey, student developers! If you’re passionate about programming and are ready to use your technology skills to help your community, then you should become a Google Developer Student Clubs Lead!

Application forms for the upcoming 2021-2022 academic year are NOW OPEN. Get started at goo.gle/gdsc-leads.

Want to know more? Learn more about the program below.

What are Google Developer Student Clubs?

Google Developer Student Clubs are university based community groups for students interested in Google developer technologies. With clubs hosted in 106 countries around the world, students from undergraduate and graduate programs with an interest in leading a community are welcome. Together, students learn the latest in Android App Development, Google Cloud Platform, Flutter, and so much more.

By joining a GDSC, students grow their knowledge in a peer-to-peer learning environment and put theory to practice by building solutions for local businesses and their community.

How will I improve my skills?

As a Google Developer Student Club Lead you will have the chance to…

Gain mentorship from Google.
Join a global community of leaders.
Practice by sharing your skills.
Help students grow.
Build solutions for real life problems.

How can I find a Google Developer Student Club near me?

Google Developer Student Clubs are now in 106 countries with 1250+ groups. Find a club near you or learn how to start your own, here.

When do I need to submit the Application form?

We encourage students to submit their forms as soon as possible. You can learn more about your region’s application deadline, here. Make sure to learn more about our program criteria.

Get Started

From working to solve the United Nations Sustainable Development Goals to helping local communities make informed voting decisions, Google Developer Student Club leads are learning valuable coding skills while making a true difference. As a lead from a Club in Kuala Lumpur, Malaysia put it,

“The secret to our club’s success was that we were able to cultivate a heart of service and a culture of open mentorship.”

We can’t wait to see what our next group of Google Developer Student Club leads will accomplish this year. Join the fun and get started, here.

*Google Developer Student Clubs are student-led independent organizations, and their presence does not indicate a relationship between Google and the students’ universities.

Local students team up to help small businesses go online

Posted by Erica Hanson, Global Program Manager, Google Developer Student Clubs

Recently young developers in Saudi Arabia from Google Developer Student Clubs, a program of university based community groups for students interested in Google technologies, came together to help local small businesses. As more companies across the globe rely on online sales, these students noticed that many of their favorite local stores did not have a presence on the web.

So to help these local shops compete, these up-and-coming developers went into the community and began running workshops to teach local store owners the basics of building a website. Inspired by Google’s fundamentals of digital marketing course, these learning sessions focused on giving small business owners basic front-end skills, while introducing them to easy to use coding tools.

Front-end skills for small business owners

Image of Chrome Devtools

The first goal of these student-run workshops was to teach local store owners the basics of building web interfaces. In particular, they focused on websites that made it easy for customers to make purchases. To do this, the students first taught store owners the basics of HTML, CSS, and JS code. Then, they showed them how to deploy Chrome DevTools, a collection of web developer tools built directly into the Google Chrome browser that allows programmers to inspect and edit HTML, CSS, and JS code to optimize user experience.

Next, the students challenged participants to put their knowledge to use by creating demos of their businesses’ new websites. The young developers again used Chrome DevTools to highlight the best practices for testing the demo sites on different devices and screen sizes.

Introduction to coding toolkits

Image of demo created and maintained in workshop.

With the basics of HTML, CSS, JS code, and Chrome DevTools covered, the students also wanted to give the store owners tools to help maintain their new websites. To do this, they introduced the small businesses to three toolkits:

Bootstrap, to help templatize future workflow for the websites.
Codepen, to make testing new features and aspects of the websites easier.
Figma, to assist in the development of initial mockups.

With these basic coding skills, access to intuitive toolkits, and completed website demos, the local businesses owners now had everything they needed to launch their sites to the public – all thanks to a few dedicated students.

Ready to join a Google Developer Student Club near you?

All over the world, students are coming together to learn programming and make a difference in their community as members of local Google Developer Student Clubs. Learn more on how to get involved in projects like this one, here.

25 Mar, 2021
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App Development, chrome, developer student clubs, featured, GCP, Google, Latest, small businesses

India’s Google Developer Groups meet up to ace their Google Cloud Certifications

Posted by Biswajeet Mallik, Program Manager, Google Developers India.

Image from Cloud Community Days India

Earlier this year, ten Google Developer Groups in India came together to host Google Cloud Community Days India, a two day event helping developers study for their upcoming Cloud Certification exams. To address the rising demand for professional certifications, the virtual event hosted over 63,000 developers, covered four main exam areas, and welcomed nine speakers. This was the second edition to the event series which started in 2019 in India.

By providing expert learning materials and mentorship, the event uniquely prepared developers for the Associate Cloud Engineer, Professional Data Engineer, Professional Cloud Machine Learning Engineer, and Professional Cloud Architect exams. Learn more below.

Acing the four key certifications

The Cloud Community Days event focused on helping developers study for four milestone certifications, tailored to engineers at four different stages of their career. The goal: help Google Developer Group members obtain the right credentials to improve their job prospects.

The event broke participants into breakout sessions based on which exam they were preparing to take. Since the certifications targeted professionals of all skill levels, study groups ranged from early career associates to late career executives. The learning groups were organized around the following certifications:

Associate Cloud Engineer:
This learning session was created to help early career developers complete the first stepping stone exam. In particular, learning materials and speakers were curated to guide participants who had no prior experience, or very little, working on the Google Cloud Platform.
Workshops were mainly dedicated to assisting programmers who were familiar with building different applications but wished to show employers that they could deploy them on Google Cloud Platform.
Watch more from: Day 1, here. And day 2, here.
Professional Data Engineers:
The next group brought together were data practitioners with special interests in data visualization and decision making. Workshops and learning activities helped these developers hone their large scale data and data driven decision making abilities.
Improving these skills are essential for passing the Professional Data Engineers certification and growing a programmer’s early career.
Watch more from: Day 1, here. And day 2, here.
Professional Cloud Machine Learning Engineer:
For these sessions, the Google Developer Group Cloud community paired experienced programmers with a significant interest in ML to form their study groups. The main driver in these learning activities was to help seasoned developers gain a deeper understanding of how to utilize Google Cloud ML services.
With significant emphasis being placed on machine learning in the ecosystem right now, Google Developer Group community leaders felt this certification could help developers make the leap into new leadership roles.
Watch more from: Day 1, here. And day 2, here.
Professional Cloud Architect:
Lastly, this event paired experienced Cloud executives and professionals working in leading capacities for their organizations. For these sessions, speakers and activities had a specific scope: help high level professions be at the forefront of Google Cloud Platforms innovative capabilities.
Specifically, the Professional Cloud Architect Certification was created to help senior software engineers better design, scale and develop highly secure and robust applications.
Day 1, here. And day 2, here.

Reactions from the community

Overall, the community put together these resources to help developers feel more confident in their abilities, obtain tangible credentials, and in turn increase access to better job opportunities. As two participants recalled the event,

“The session on Qwiklabs was so helpful, and taught me how to anticipate problems and then solve them. Cloud Community Days inspired me to take the next step with DevOps and Google Cloud.”

“This was the first time I attended the Google Developer Group event! It is an awesome package for learning in one place. All the fun activities were engaging and the panelist discussion was also very insightful. I feel proud to be a part of this grand GDG event.”

Start learning with Google Developer Groups

With Google Developer Groups, find a space to learn alongside a group of curious developers, all coming together to advance their careers from withinside a caring community of peers.

Want to know more about what Cloud Community days were like? Then watch their live recording below.

Ready to find a community event near you? Then get started at gdg.community.dev

Increasing our engagement with the voice technology community

Posted by Leslie Garcia-Amaya, Global Product Partnerships Lead, Google Assistant Ashwin Karuhatty, Head of Global Product Partnerships, Google Assistant

The interest and adoption of voice technology reached an important inflection point last year with the pandemic, as we immediately saw Google Assistant play a bigger role in helping people manage more of their time at home, from juggling family activities to controlling their smart home devices.

To help brands and developers stay ahead of these trends and identify potential opportunities to create impactful voice experiences for their users, we spun up a series of virtual events to stay engaged with the community when many in-person industry events were cancelled. For example, we introduced VOICE Talks last April in partnership with Modev as a monthly series of digital events that connected Google business, engineering and product leaders directly with the voice-tech ecosystem and developer community. VOICE Talks also provided a platform to companies, like Sony, Bamboo Learning, American Express, Verizon, Headspace, Vizio, iRobot, Nike, Dunkin, to share best practices on how they integrated voice technology into their products. You can watch past episodes here.

The ecosystem support and participation has been incredible with over 110,000 subscribers for VOICE Talks, over 40,000 hours of content consumed and active ongoing viewership on YouTube. In addition, we saw a huge demand for country/region-specific content in India, and started the VOICE Talks India series, which has also been received very well.

Thanks to all the positive feedback from the community, we’re looking to double down on those efforts this year. In addition to hosting more VOICE Talks events, we’re expanding our collaboration with industry-recognized influencers through podcasts, livestreams and more to continue growing the community, such as:

Bret Kinsella, CEO and Founder of Voicebot.ai
Katherine Prescott, VoiceBrew
Dr. Teri Fisher, Creator & Host of The Voice Den
Michal Stanislawek and Karol Stryja of VoiceLunch Foundation

Additionally, we’re excited to announce that Google Assistant is the first corporate sponsor of Women In Voice, a global non-profit with a mission to amplify women and diverse people in the voice technology field that has grown to 20 chapters in 15 countries since they launched in 2018. This sponsorship builds on the momentum Women In Voice established with Google Assistant at CES 2020, where they collaborated on a “Women In Tech & Allies” event. Tune in to womeninvoice.org to stay up to date on upcoming events and collaborations between Google Assistant and Women In Voice.

There’s now more ways to hear from us, share your feedback and learn about the latest trends in the space.

10 Mar, 2021
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featured, GCP, Google, google assistant, Latest, voice technology

Eight women kicking butt and taking (domain) names

Posted by Christina Yeh, Google Registry Team

Who do you think of when you hear the words sister, daughter, mother? How about when the words are leader, founder, CEO? As a mom of three, I want my kids to grow up in a world where the second set of words is as likely as the first to bring a woman to mind. Which is why we’re elevating the voices of women and making sure their stories are heard in today’s #MyDomain series. On this International Women’s Day, Google Registry is sharing eight new videos — all featuring female leaders who are taking care of business on their .app and .dev domains.

Alice Truswell

Alice Truswell is co-founder of Snoop.app, a money-saving app. “Fear being forgettable more than fearing not fitting in,” she says, “because the earlier you get comfortable with your voice, the earlier you can start refining results.”

Annie Hwang

Annie Hwang is co-founder of Jemi.app, a company that helps creators and public figures interact with their audiences and make money. “Don’t let imposter syndrome ever stop you,” she advises.“We’ve grown up in a society where we are constantly told that we should be a follower. Don’t be a follower anymore; be a leader!”

Elena Czubiak

Elena Czubiak is the developer and designer behind saturdaydesign.dev and co-founder of imaginarie.app. She quit her day job in 2018 to start her own business and hasn’t looked back since. Elena says, “Remember that although it might feel like starting over, you’ll quickly see that your unique experiences will help you solve problems and make connections that nobody else could.”

Ifrah Khan

Ifrah Khan is co-founder of Clubba.app, a platform that provides virtual creative extracurricular clubs (led by college students) for kids ages 6 to 12. Ifrah encourages entrepreneurial women to find and connect with other women who are also working on their own ventures. “Really talk to them and get to know their journey,” she says. “If they fundraised, how did they fundraise? Fundraising is so hard when you start your own business in general, but as a woman it’s even harder.”

Rita Kozlov

Rita Kozlov is a product manager who leads the Cloudflare Workers product, which uses the workers.dev domain. Rita’s advice for women who want to become a product manager is, “Don’t be afraid to ask lots of questions. In product management that’s definitely 100% a strength and never a weakness.”

Romina Arrigoni Samsó

Romina Arrigoni Samsó is founder and CEO of ADDSKIN.app, a social marketplace for skincare, where community recommendations help customers choose the best products. Romina says, “La gracia de la tecnología es que como dice el dicho, el avión se construye en el aire. Lo importante es lanzarse,” which translates to, “The grace of technology is that, as the saying goes, the plane is built in the air. The important thing is to launch.”

Soraya Jaber

Soraya Jaber is co-founder and CEO of Minsar.app, a no-code AR-VR creative and publishing platform. “We don’t care about your age, your gender, your race, or sexual orientation — there is no space where you are not allowed,” Soraya says.“Don’t hinder yourself, jump into entrepreneurship. I can assure you that’s a hell of a great adventure!”

Stefania Olafsdóttir

Stefania Olafsdóttir is the co-founder and CEO of Avo.app, a next-generation analytics governance company. Her advice? “It’s way more important to be brave than to be perfect.”

To see a special video featuring all these amazing women, check out goo.gle/mydomain. If you have a unique story to share about a .app, .dev, or .page domain and would like to be considered for our series, please fill out this short application form. Here’s to helping tell the stories of women everywhere so that we may inspire generations to come.

8 Mar, 2021
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developers, diversity-and-inclusion, featured, GCP, Google, Latest, small business

How we’re helping developers with differential privacy

Posted by Miguel Guevara, Product Manager, Privacy and Data Protection Office

At Google, we believe that innovation and privacy must go hand in hand. Earlier this month, we shared our work to keep people safe online, including our investments in leading privacy technologies such as differential privacy. Today, on Data Privacy Day, we want to share some updates on new ways we’re applying differential privacy technologies in our own products and making it more accessible to developers and businesses globally—providing them with greater access to data and insights while keeping people’s personal information private and secure.

Strengthening our core products with differential privacy

We first deployed our world-class differential privacy anonymization technology in Chrome nearly seven years ago and are continually expanding its use across our products including Google Maps and the Assistant. And as the world combats COVID-19, last year we published our COVID-19 Community Mobility Reports, which uses differential privacy to help public health officials, economists and policymakers globally as they make critical decisions for their communities while ensuring no personally identifiable information is made available at any point.

This year in the Google Play console, we’ll provide new app metrics and benchmarks to developers in a differentially private manner. When launched, developers will be able to easily access metrics related to how successfully their apps are engaging their users, such as Daily Active Users and Revenue per Active user, in a manner that helps ensure individual users cannot be identified or re-identified. By adding differential privacy to these new app metrics, we’ll provide meaningful insights to help developers improve their apps without compromising people’s privacy, or developer confidentiality. Moving forward, we plan to expand the number of metrics we provide to developers using differential privacy.

As we have in the last year, we’ll continue to make our existing differential privacy library even easier for developers to use. For example, this month we’re open sourcing a new differentially private SQL database query language extension that is used in thousands of queries done every day at Google. These queries help our analysts obtain business insights, and observe product trends. This is a step forward in democratizing privacy safe data analysis, empowering data scientists around the world to uncover powerful insights while protecting and respecting the privacy of individuals.

Partnering with OpenMined to make differential privacy more widely accessible

As we continue to make advancements with privacy-preserving technologies in our own products, it’s also important to us that developers have access to this technology. That’s why in 2019, we open-sourced our differential privacy library and made it freely accessible, easy to deploy and useful to developers globally. Since then, hundreds of developers, researchers and institutions have incorporated Google’s differential privacy algorithms into their work, enabling them to tackle new problems while using data in a responsible and privacy protective way. One of these companies is French healthcare startup Arkhn. For Arkhn, differential privacy is making it possible to pursue its mission to revolutionize the healthcare industry with artificial intelligence, enabling them to gather, query and analyze cross-department hospital data in a secure, and safe way.

To help bring our world class differential privacy library to more developer teams, like the one at Arkhn, today we’re excited to announce a new partnership with OpenMined, a group of open-source developers that is focused on taking privacy preserving technologies and expanding their usage around the world. Together with OpenMined, we will develop a version of our differential privacy library specifically for python developers. By replicating Google’s differentially private infrastructure, Python developers will have access to a new and unique way to treat their data with world-class privacy.

A collaborative approach to improving the state of privacy in Machine Learning

Two years ago, we introduced TensorFlow Privacy (GitHub), an open source library that makes it easier not only for developers to train machine-learning models with privacy, but also for researchers to advance the state of the art in machine learning with strong privacy guarantees. In the past year, we’ve expanded the library to include support for TensorFlow 2, as well as both the Keras Model interface and TensorFlow’s premade estimators. Thanks to a collaboration with researchers from University of Waterloo, we’ve improved performance, with our new release making it four times faster or more to train on common workloads.

We also recognize that training with privacy might be expensive, or not feasible. So we set out to understand how private machine learning models are. Last year we open-sourced our attack library to help address this and help anyone using the library get a broader privacy picture of their machine models. Since then, we partnered with researchers at Princeton University, and the National University of Singapore who have added new features that expand the library’s scope to test generative models and non-neural network models. Recently, researchers at Stanford Medical School tried it on some of their models, to test for memorization. This testing helped them understand the privacy behavior of their models, something that wasn’t possible beforehand.

We’ve also published new research studying the trade-offs between differential privacy and robustness, another property at the core of AI ethics, privacy and safety.

Our work continues as we invest in world-class-privacy that provides algorithmic protections to the people who use our products while nurturing and expanding a healthy open-source ecosystem. We strongly believe that everyone globally deserves world-class privacy, and we’ll continue partnering with organizations to fulfill that mission.

Announcing gRPC Kotlin 1.0 for Android and Cloud

Posted by Louis Wasserman, Software Engineer and James Ward, Developer Advocate

Kotlin is now the fourth “most loved” programming language with millions of developers using it for Android, server-side / cloud backends, and various other target runtimes. At Google, we’ve been building more of our apps and backends with Kotlin to take advantage of its expressiveness, safety, and excellent support for writing asynchronous code with coroutines.

Since everything in Google runs on top of gRPC, we needed an idiomatic way to do gRPC with Kotlin. Back in April 2020 we announced the open sourcing of gRPC Kotlin, something we’d originally built for ourselves. Since then we’ve seen over 30,000 downloads and usage in Android and Cloud. The community and our engineers have been working hard polishing docs, squashing bugs, and making improvements to the project; culminating in the shiny new 1.0 release! Dive right in with the gRPC Kotlin Quickstart!

For those new to gRPC & Kotlin let’s do a quick runthrough of some of the awesomeness. gRPC builds on Protocol Buffers, aka “protos” (language agnostic & high performance data interchange) and adds the network protocol for efficiently communicating with protos. From a proto definition the servers, clients, and data transfer objects can all be generated. Here is a simple gRPC proto:

message HelloRequest {
  string name = 1;
}

message HelloReply {
  string message = 1;
}

service Greeter {
  rpc SayHello (HelloRequest) returns (HelloReply) {}
}

In a Kotlin project you can then define the implementation of the Greeter’s SayHello service with something like:

object : GreeterGrpcKt.GreeterCoroutineImplBase() {
    override suspend fun sayHello(request: HelloRequest) =
        HelloReply
            .newBuilder()
            .setMessage("hello, ${request.name}")
            .build()
}

You’ll notice that the function has `suspend` on it because it uses Kotlin’s coroutines, a built-in way to handle async / reactive IO. Check out the server example project.

With gRPC the client “stubs” are generated making it easy to connect to gRPC services. For the protoc above, the client stub can be used in Kotlin with:

val stub = GreeterCoroutineStub(channel)
val request = HelloRequest.newBuilder().setName("world").build()
val response = stub.sayHello(request)
println("Received: ${response.message}")

In this example the `sayHello` method is also a `suspend` function utilizing Kotlin coroutines to make the reactive IO easier. Check out the client example project.

Kotlin also has an API for doing reactive IO on streams (as opposed to requests), called Flow. gRPC Kotlin generates client and server stubs using the Flow API for stream inputs and outputs. The proto can define a service with unary streaming or bidirectional streaming, like:

service Greeter {
  rpc SayHello (stream HelloRequest) returns (stream HelloReply) {}
}

In this example, the server’s `sayHello` can be implemented with Flows:

object : GreeterGrpcKt.GreeterCoroutineImplBase() {
  override fun sayHello(requests: Flow<HelloRequest>): Flow<HelloReply> {
    return requests.map { request ->
      println(request)
      HelloReply.newBuilder().setMessage("hello, ${request.name}").build()
    }
  }
}

This example just transforms each `HelloRequest` item on the flow to an item in the output / `HelloReply` Flow.

The bidirectional stream client is similar to the coroutine one but instead it passes a Flow to the `sayHello` stub method and then operates on the returned Flow:

val stub = GreeterCoroutineStub(channel)
val helloFlow = flow {
  while(true) {
    delay(1000)
    emit(HelloRequest.newBuilder().setName("world").build())
  }
}

stub.sayHello(helloFlow).collect { helloResponse ->
  println(helloResponse.message)
}

In this example the client sends a `HelloRequest` to the server via Flow, once per second. When the client gets items on the output Flow, it just prints them. Check out the bidi-streaming example project.

As you’ve seen, creating data transfer objects and services around them is made elegant and easy with gRPC Kotlin. But there are a few other exciting things we can do with this…

Android Clients

Protobuf compilers can have a “lite” mode which generates smaller, higher performance classes which are more suitable for Android. Since gRPC Kotlin uses gRPC Java it inherits the benefits of gRPC Java’s lite mode. The generated code works great on Android and there is a `grpc-kotlin-stub-lite` artifact which depends on the associated `grpc-protobuf-lite`. Using the generated Kotlin stub client is just like on the JVM. Check out the stub-android example and android example.

GraalVM Native Image Clients

The gRPC lite mode is also a great fit for GraalVM Native Image which turns JVM-based applications into ahead-of-time compiled native images, i.e. they run without a JVM. These applications can be smaller, use less memory, and start much faster so they are a good fit for auto-scaling and Command Line Interface environments. Check out the native-client example project which produces a nice & small 14MB executable client app (no JVM needed) and starts, connects to the server, makes a request, handles the response, and exits in under 1/100th of a second using only 18MB of memory.

Google Cloud Ready

Backend services created with gRPC Kotlin can easily be packaged for deployment in Kubernetes, Cloud Run, or really anywhere you can run docker containers or JVM apps. Cloud Run is a cloud service that runs docker containers and scales automatically based on demand so you only pay when your service is handling requests. If you’d like to give a gRPC Kotlin service a try on Cloud Run:

Deploy the app with a few clicks

In Cloud Shell, run the client to connect to your app on the cloud:

export PROJECT_ID=PUT_YOUR_PROJECT_ID_HERE
docker run -it gcr.io/$PROJECT_ID/grpc-hello-world-mvn 
"java -cp target/classes:target/dependency/* io.grpc.examples.helloworld.HelloWorldClientKt YOUR_CLOUD_RUN_DOMAIN_NAME"

Here is a video of what that looks like:

Check out more Cloud Run gRPC Kotlin examples

Thank You!

We are super excited to have reached 1.0 for gRPC Kotlin and are incredibly grateful to everyone who filed bugs, sent pull requests, and gave the pre-releases a try! There is still more to do, so if you want to help or follow along, check out the project on GitHub.

Also huge shoutouts to Brent Shaffer, Patrice Chalin, David Winer, Ray Tsang, Tyson Henning, and Kevin Bierhoff for all their contributions to this release!

16 Dec, 2020
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featured, GCP, Google, Google Cloud Platform, Kotlin, Latest

2020 Google Assistant developer Year in Review

Posted by Payam Shodjai, Director, Product Management Google Assistant

With 2020 coming to a close, we wanted to reflect on everything we have launched this year to help you, our developers and partners, create powerful voice experiences with Google Assistant.

Today, many top brands and developers turn to Google Assistant to help users get things done on their phones and on Smart Displays. Over the last year, the number of Actions built by third-party developers has more than doubled. Below is a snapshot of some of our partners who’ve integrated with Google Assistant:

2020 Highlights

Below are a few highlights of what we have launched in 2020:

1. Integrate your Android mobile Apps with Google Assistant

App Actions allow your users to jump right into existing functionality in your Android app with the help of Google Assistant. It makes it easier for users to find what they’re looking for in your app in a natural way by using their voice. We take care of all the Natural Language Understanding (NLU) processing, making it easy to develop in only a few days. In 2020, we announced that App Actions are now available for all Android developers to voicify their apps and integrate with Google Assistant.

For common tasks such as opening your apps, opening specific pages in your apps or searching within apps, we introduced Common Intents. For a deeper integration, we’ve expanded our vertical-specific built-in intents (BIIs), to cover more than 60 intents across 10 verticals, adding new categories like Social, Games, Travel & Local, Productivity, Shopping and Communications.

For cases where there isn’t a built-in intent for your app functionality, you can instead create custom intents that are unique to your Android app. Like BIIs, custom intents follow the actions.xml schema and act as connection points between Assistant and your defined fulfillments.

Learn more about how to integrate your app with Google Assistant here.

2. Create new experiences for Smart Displays

We also announced new developer tools to help you build high quality, engaging experiences to reach users at home by building for Smart Displays.

Actions Builder is a new web-based IDE that provides a graphical interface to show the entire conversation flow. It allows you to manage Natural Language Understanding (NLU) training data and provides advanced debugging tools. And, it is fully integrated into the Actions Console so you can now build, debug, test, release, and analyze your Actions – all in one place.

Actions SDK, a file based representation of your Action and the ability to use a local IDE. The SDK not only enables local authoring of NLU and conversation schemas, but it also allows bulk import and export of training data to improve conversation quality. The Actions SDK is accompanied by a command line interface, so you can build and manage an Action fully in code using your favorite source control and continuous integration tools.

Interactive Canvas allows you to add visual, immersive experiences to Conversational Actions. We announced the expansion of Interactive Canvas to support Storytelling and Education verticals earlier this year.

Continuous Match Mode allows the Assistant to respond immediately to a user’s speech for more fluid experiences by recognizing defined words and phrases set by you.

We also created a central hub for you to find resources to build games on Smart Displays. This site is filled with a game design playbook, interviews with game creators, code samples, tools access, and everything you need to create awesome games for smart displays.

Actions API provides a new programmatic way to test your critical user journeys more thoroughly and effectively, to help you ensure your Action’s conversations run smoothly.

The Dialogflow migration tool inside the Actions Console automates much of the work to move projects to the new and improved Actions Builder tool.

We also worked with partners such as Voiceflow and Jovo, to launch integrations to support voice application development on the Assistant. This effort is part of our commitment to enable you to leverage your favorite development tools, while building for Google Assistant.

We launched several other new features that help you build high quality experiences for the home, such as Media APIs, new and improved voices (available in Actions Console), home storage API.

Get started building for Smart Displays here.

3. Discovery features

Once you build high quality Actions, you are ready for your users to discover them. We have designed new touch points to help your users easily learn about your Actions..

For example, on Android mobile, we’ll be recommending relevant Apps Actions even when the user doesn’t mention the app’s name explicitly by showing suggestions. Google Assistant will also be suggesting apps proactively, depending on individual app usage patterns. Android mobile users will also be able to customize their experience, creating their own way to automate their most common tasks with app shortcuts, enabling people to set up quick phrases to enable app functions they frequently use. By simply saying “Hey Google, shortcuts”, they can set up and explore suggested shortcuts in the settings screen. We’ll also make proactive suggestions for shortcuts throughout Google Assistants’ mobile experience, tailored to how you use your phone.

Assistant Links deep link to your conversational Action to deliver rich Google Assistant experiences to your websites, so you can send your users directly to your conversational Actions from anywhere on the web.

We also recently opened two new built-in intents (BIIs) for public registration: Education and Storytelling. Registering your Actions for these intents allows your users to discover them in a simple, natural way through general requests to Google Assistant on Smart Displays. People will then be able to say “Hey Google, teach me something new” and they will be presented with a browsable selection of different education experiences. For stories, users can simply say “Hey Google, tell me a story”.

We know you build personalized and premium experience for your users, and need to make it easy for them to connect their accounts to your Actions. To help streamline this process we opened two betas for improved account linking flows that will allow simple, streamlined authentication via apps.

Link with Google enables anyone with an Android or iOS app where they are already logged in to complete the linking flow with just a few clicks, without needing to re-enter credentials.
App Flip helps you build a better mobile account linking experience, so your users can seamlessly link their accounts to Google without having to re-enter their credentials.

What to expect in 2021

Looking ahead, we will double down on enabling you, our developers and partners to build great experiences for GoogleAssistant and help you reach your users on the go and at home. You can expect to hear more from us on how we are improving the Google Assistant experience to make it easy for Android developers to integrate their Android app with Google Assistant and also help developers achieve success through discovery and monetization.

We are excited to see what you will build with these new features and tools. Thank you for being a part of the Google Assistant ecosystem. We can’t wait to launch even more features and tools for Android developers and Smart Display experiences in 2021.

Want to stay in the know with announcements from the Google Assistant team? Sign up for our monthly developer newsletter here.

16 Dec, 2020
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featured, GCP, Google, google assistant, Latest

AGP 7.0: Next major release for the Android Gradle plugin

Posted by Murat Yener, Developer Advocate

Today marks the release of the first Canary version of Android Studio Arctic Fox (2020.3.1), together with Android Gradle plugin (AGP) version 7.0.0-alpha01. With this release we are adjusting the version numbering for our Gradle plugin and decoupling it from the Android Studio versioning scheme. In this blog post we’ll explain the reasons for the change, as well as give a preview of some important changes we’re making to our new, incubating Android Gradle plugin APIs and DSL.

New versioning scheme

With AGP 7.0.0 we are adopting the principles of semantic versioning. What this means is that only major version changes will break API compatibility. We intend to release one major version each year, right after Gradle introduces its own yearly major release.

Moreover, in the case of a breaking change, we will ensure that the removed API is marked with @Deprecated about a year in advance and that its replacement is available at the same time. This will give developers roughly a year to migrate and test their plugins with the new API before the old API is removed.

Alignment with Gradle’s version is also why we’re skipping versions 5 and 6, and moving directly to AGP 7.0.0. This alignment indicates that AGP 7.x is meant to work with Gradle 7.x APIs. While it may also run on Gradle 8.x, this is not guaranteed and will depend on whether 8.x removes APIs that AGP relies on.

With this change, the AGP version number will be decoupled from the Android Studio version number. However we will keep releasing Android Studio and Android Gradle plugin together for the foreseeable future.

Compatibility between Android Studio and Android Gradle plugin remains unchanged. As a general rule, projects that use stable versions of AGP can be opened with newer versions of Android Studio.

Java 11 requirement

You can still use Java programming language version 8 with AGP 7.0.0-alpha01 but we are changing the minimum required Java programming language version to Java 11, starting with AGP 7.0.0-alpha02. We are announcing this early in the Canary schedule and many months ahead of the stable release to allow developers time to get ready.

Incubating APIs and important API changes

This release of AGP also introduces some API changes. As a reminder, a number of APIs that were introduced in AGP 4.1 were marked as incubating and were subject to change. In fact, in AGP 4.2 some of these APIs have changed. The APIs that are currently incubating do not follow the deprecation cycle that we explain above.

Here is a summary of some important API changes.

The onVariants, onProperties and onVariantProperties blocks are removed in version 4.2 beta.
These APIs are replaced with beforeVariants and onVariants in the new androidComponents block. Both beforeVariants and onVariants can optionally use a VariantSelector to reduce the number of variants the callback will run on, based on build type, name or flavor by using withBuildType, withName and withFlavor accordingly. The lambda onVariants and beforeVariants receives is executed after AGP computes variant combinations in afterEvaluate. Nesting properties inside onVariants is removed.
Similar APIs are added to androidComponents to allow separate blocks for UnitTests (beforeUnitTest and unitTest) and AndroidTests (beforeAndroidTest and androidTest) instead of nesting tests inside variants.
Two classes used by both the old and new way of registering actions for variants were renamed. Variant is now VariantBuilder, and it is used in the beforeVariants phase. VariantProperties is now Variant and it is passed to the new onVariants block.

Let’s take a look at some of these changes. Here is a sample onVariants block which targets the release build. The onVariants block Is changed to beforeVariants and uses a variant selector in the following example.

```
android {
   …
   //onVariants.withName("release") {
   //   ...
   //}
   …
}
androidComponents {
   val release = selector().withBuildType("release")
   beforeVariants(release) { variant ->
      ...
   }
}

```

Similarly onVariantProperties block is changed to onVariants.

```
android {
   ...
   //onVariantProperties {
   //   ... 
   //}
   …
}

androidComponents.onVariants { variant ->
      ... 
}

```

Note, this customization is typically done in a plugin and should not be located in build.gradle. We are moving away from using functions with receivers which suited the DSL syntax but are not necessary in the plugin code.

We are planning to make these APIs stable with AGP 7.0.0 and all plugin authors must migrate to the new androidComponents. If you want to avoid dealing with such changes, make sure your plugins only use stable APIs and do not depend on APIs marked as incubating.

If you want to learn more about other changes coming with this release, make sure to take a look at the release notes.

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2 Dec, 2020
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By editor
Dev Tools, featured, GCP, Google, Gradle, Latest

Announcing Android Studio Arctic Fox (2020.3.1) & Android Gradle plugin 7.0

Posted by Jamal Eason, Product Manager

Today marks the release of the first version of Android Studio Arctic Fox (2020.3.1) on the canary channel, together with Android Gradle plugin (AGP) version 7.0.0-alpha01. With this release, we are adjusting the version numbering of Android Studio and our Gradle plugin. This change decouples the Gradle plugin from the Android Studio versioning scheme and brings more clarity to which year and IntelliJ version Android Studio aligns with for each release.

New versioning scheme – Android Studio

With Android Studio Arctic Fox (2020.3.1) we are moving to a year-based system that is more closely aligned with IntelliJ IDEA, the IDE upon which Android Studio is built. We are changing the version numbering scheme to encode a number of important attributes: the year, the version of IntelliJ it is based on, plus feature and patch level. WIth this name change you can quickly figure out which version of the IntelliJ platform you are using in Android Studio. In addition, each major version will have a canonical codename, starting with Arctic Fox, and then proceeding alphabetically to help make it easy to see which version is newer.

We recommend that you use the latest version of Android Studio so that you have access to the latest features and quality improvements. To make it easier to stay up to date, we made the version change to clearly de-couple Android Studio from your Android Gradle Plugin version. An important detail to keep in mind is that there is no impact to the way the build system compiles and packages your app when you update the IDE. In contrast, app build process changes and APK/Bundles are dictated by your project AGP version. Therefore, it is safe to update your Android Studio version, even late in your development cycle, because your project AGP version can be updated in a different cadence than your Android Studio version. Lastly, with the new version system it is even easier than before for you or your team to run both the stable and preview versions of Android Studio at the same time on your app project as long as you keep the AGP version on a stable release.

In the previous numbering system, this release would have been Android Studio 4.3. With the new numbering system, it is now Android Studio Arctic Fox (2020.3.1) Canary 1 or just, Arctic Fox.

Going forward, here is how the Android Studio version number scheme will work:

<Year of IntelliJ Version>.<IntelliJ major version>.<Studio major version>

The first two number groups represent the version of the final IntellIj platform that a particular Android Studio release is based on (earlier canaries may still be on the earlier version). For this release, this is 2020.3.
The third number group represents the Studio major version, starting at 1 and incrementing by one for every major release.
To make it easier to refer to each version, we are also giving major releases a code name, incrementing from A to Z based on animal names. This initial release name is Arctic Fox.

New versioning scheme – Android Gradle plugin

With AGP 7.0.0 we are adopting the principles of semantic versioning, and aligning with the Gradle version that AGP requires. Compatibility between Android Studio and Android Gradle plugin remains unchanged. Projects that use stable versions of AGP can be opened with newer versions of Android Studio.

We will publish another post soon with more details about our AGP versioning philosophy and what is new in AGP 7.0.

What is new in Android Studio Arctic Fox

We are in early days in the feature development phase for Arctic Fox, but we have invested much of our time in addressing over 200 quality improvements and bugs across a wide range of areas in the IDE from the code editor, app inspection tools, layout editor to the embedded emulator. Check out the release notes for the specific bug fixes.

For those trying out Jetpack Compose, we have a host of new updates, like deploy @Preview composables to device/emulator:

Deploy preview composable

Also try out the new Layout Validation Tool in Arctic Fox to see how your layout responds to various screens sizes, font sizes, and Android Color Correction/Color Blind Modes. You can access this via the Layout Validation tool window when you are using the Layout Editor.

Layout Validation

Lastly, for those running MacOS (other platforms are coming soon) with the latest Android Platform tools and an Android 11 device, you can try out the IDE integration for the Wireless ADB feature by going to the Run device selection dialogue → Pair Devices Using Wi-Fi.

Menu to access Wireless ADB feature

Wireless ADB Setup Window

What’s Next

If you want to learn more about other detailed changes coming with this release for both Android Studio and the Android Gradle plugin, make sure to take a look at the release notes.

2 Dec, 2020
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By editor
Android Studio, Android Tools, androidstudio, Dev Tools, featured, GCP, Google, Gradle, Latest

Irem from Turkey shares her groundbreaking work in TensorFlow and advice for the community

Posted by Jennifer Kohl, Global Program Manager, Google Developer Groups

Irem presenting at a Google Developer Group event

We recently caught up with Irem Komurcu, a TensorFlow developer and researcher at Istanbul Technical University in Turkey. Irem has been a long-serving member of Google Developer Groups (GDG) Düzce and also serves as a Women Techmakers (WTM) ambassador. Her work with TensorFlow has received several accolades, including being named a Hamdi Ulukaya Girişimi fellow. As one one of twenty-four young entrepreneurs selected, she was flown to New York City last year to learn more about business and receive professional development.

With all this experience to share, we wanted you to hear how she approaches pursuing a career in tech, hones her TensorFlow skills with the GDG community, and thinks about how upcoming programmers can best position themselves for success. Check out the full interview below for more.

What inspired you to pursue a career in technology?

I first became interested in tech when I was in high school and went on to study computer engineering. At university, I had an eye-opening experience when I traveled from Turkey to the Google Developer Day event in India. It was here where I observed various code languages, products, and projects that were new to me.

In particular, I saw TensorFlow in action for the first time. Watching the powerful machine learning tool truly sparked my interest in deep learning and project development.

Can you describe your work with TensorFlow and Machine Learning?

I have studied many different aspects of Tensorflow and ML. My first work was on voice recognition and deep learning. However, I am now working as a computer vision researcher conducting various segmentation, object detection, and classification processes with Tensorflow. In my free time, I write various articles about best practices and strategies to leverage TensorFlow in ML.

What has been a useful learning resource you have used in your career?

I kicked off my studies on deep learning on tensorflow.org. It’s a basic first step, but a powerful one. There were so many blogs, codes, examples, and tutorials for me to dive into. Both the Google Developer Group and TensorFlow communities also offered chances to bounce questions and ideas off other developers as I learned.

Between these technical resources and the person-to-person support, I was lucky to start working with the GDG community while also taking the first steps of my career. There were so many opportunities to meet people and grow all around.

What is your favorite part of the Google Developer Group community?

I love being in a large community with technology-oriented people. GDG is a network of professionals who support each other, and that enables people to develop. I am continuously sharing my knowledge with other programmers as they simultaneously mentor me. The chance for us to collaborate together is truly fulfilling.

What is unique about being a developer in your country/region?

The number of women supported in science, technology, engineering, and mathematics (STEM) is low in Turkey. To address this, I partner with Women Techmakers (WTM) to give educational talks on TensorFlow and machine learning to women who want to learn how to code in my country. So many women are interested in ML, but just need a friendly, familiar face to help them get started. With WTM, I’ve already given over 30 talks to women in STEM.

What advice would you give to someone who is trying to grow their career as a developer?

Keep researching new things. Read everything you can get your eyes on. Technology has been developing rapidly, and it is necessary to make sure your mind can keep up with the pace. That’s why I recommend communities like GDG that help make sure you’re up to date on the newest trends and learnings.

Want to work with other developers like Irem? Then find the right Google Developer Developer Group for you, here.

Passionate former DSC lead Irene inspires others to learn Google technologies with her new podcast and more

Posted by Erica Hanson, Global Program Manager, Google Developer Student Clubs

(Irene (left) and her DSC team from the Polytechnic University of Cartagena (photo prior to COVID-19)

Irene Ruiz Pozo is a former Google Developer Student Club (DSC) Lead at the Polytechnic University of Cartagena in Murcia, Spain. As one of the founding members, Irene has seen the club grow from just a few student developers at her university to hosting multiple learning events across Spain. Recently, we spoke with Irene to understand more about the unique ways in which her team helped local university students learn more about Google technologies.

Real world ML and AR learning opportunities

Irene mentioned two fascinating projects that she had the chance to work on through her DSC at the Polytechnic University of Cartagena. The first was a learning lab that helped students understand how to use 360º cameras and 3D scanners for machine learning.

(A DSC member giving a demo of a 360º camera to students at the National Museum of Underwater Archeology in Cartagena)

The second was a partnership with the National Museum of Underwater Archeology, where Irene and her team created an augmented reality game that let students explore a digital rendition of the museum’s exhibitions.

(An image from the augmented reality game created for the National Museum of Underwater Archeology)

In the above AR experience created by Irene’s team, users can create their own character and move throughout the museum and explore different virtual renditions of exhibits in a video game-like setting.

Hash Code competition and experiencing the Google work culture

One particularly memorable experience for Irene and her DSC was participating in Google’s annual programming competition, Hash Code. As Irene explained, the event allowed developers to share their skills and connect in small teams of two to four programmers. They would then come together to tackle engineering problems like how to best design the layout of a Google data center, create the perfect video streaming experience on YouTube, or establish the best practices for compiling code at Google scale.

(Students working on the Hash Code competition (photo taken prior to COVID-19)

To Irene, the experience felt like a live look at being a software engineer at Google. The event taught her and her DSC team that while programming skills are important, communication and collaboration skills are what really help solve problems. For Irene, the experience truly bridged the gap between theory and practice.

Expanding knowledge with a podcast for student developers

(Irene’s team working with other student developers (photo taken before COVID-19)

After the event, Irene felt that if a true mentorship network was established among other DSCs in Europe, students would feel more comfortable partnering with one another to talk about common problems they faced. Inspired, she began to build out her mentorship program which included a podcast where student developers could collaborate on projects together.

The podcast, which just released its second episode, also highlights upcoming opportunities for students. In the most recent episode, Irene and friends dive into how to apply for Google Summer of Code Scholarships and talk about other upcoming open source project opportunities. Organizing these types of learning experiences for the community was one of the most fulfilling parts of working as a DSC Lead, according to Irene. She explained that the podcast has been an exciting space that allows her and other students to get more experience presenting ideas to an audience. Through this podcast, Irene has already seen many new DSC members eager to join the conversation and collaborate on new ideas.

As Irene now looks out on her future, she is excited for all the learning and career development that awaits her from the entire Google Developer community. Having graduated from university, Irene is now a Google Developer Groups (GDG) Lead – a program similar to DSC, but created for the professional developer community. In this role, she is excited to learn new skills and make professional connections that will help her start her career.

Are you also a student with a passion for code? Then join a local Google Developer Student Club near you, here.