Category Archives: Google Developers Blog

News and insights on Google platforms, tools and events

Developer Journey: Explore I/O through the lens of our developer communities (May 2023)

Posted by Lyanne Alfaro, DevRel Program Manager, Google Developer Studio

Developer Journey is a monthly series to spotlight diverse and global developers sharing relatable challenges, opportunities, and wins in their journey. Every month, we will spotlight developers around the world, the Google tools they leverage, and the kind of products they are building.

With Google I/O season in full swing, we’re sharing diverse perspectives of developers across Google’s developer communities who have been on the ground.

Meet AiJing, Jolina, and Maria – members of Google Developer Student Clubs, Google Developer Groups, and Women Techmakers – who share a passion for learning, creating, and connecting through Google technology as they share what they’re most excited for this year at I/O.


AiJing Wu

Headshot of AiJing Wu, smiling
Madison, Wisconsin
GDSC Lead, Women Techmakers
GDSC University of Wisconsin-Madison
Software Engineer

What does Google I/O mean to you, and what are you looking forward to most this year?

To me, Google I/O is the paradise for embracing cutting-edge technologies. I have followed the keynotes online for two years, and it is so exciting that I will join in-person this year! I can’t wait to exchange thoughts with other amazing developers and listen to the game-changing AI topics.


What's your favorite part about Google I/O?

I’m obsessed with live demos for new technologies. Daring to do a live demo shows Google developers’ strong confidence and pride in their work. It is also exciting to see what kinds of use cases are emphasized and what metrics are evaluated.


What Google tools have you used to build?

As a full-stack developer and cloud engineer, I have built progressive apps and distributed services with Chrome, Android Studio, BigQuery, Analytics, Firebase, Google Maps, YouTube, and Google Cloud Platform. Other than those, I love exploring AI and ML features with Google Colab, Cloud TPU, and TensorFlow.


Which tool has been your favorite? Why?

Chrome has been my favorite. To me, it is the best choice for web app development: great compatibility across OS platforms, feature-rich developer tools, and smooth mobile integration. ChromeDriver is a sweet bonus when accessing deployments and automating tests on a server.


Tell us about something you've built in the past using Google tools.

I collaborated with my friends to build a web app aimed at helping people understand and analyze soccer games easier and faster with pre-trained ML models. This app includes accessing YouTube video sources, detecting targets with Yolo-v3 in TensorFlow, accelerating computation with Colab GPU, and storing results in Google Cloud.


What advice would you give someone starting in their developer journey?

Actively discuss with people and listen to their ideas, especially if you are a student or a beginner. Participating in GDSC and GDG events is a great source to connect with peers and senior developers near you and across the globe. I benefit so much simply by chatting about random tech topics with others. Good communication will open your mind and guide your direction. Meeting interesting people will also make your journey as a developer much more colorful and enjoyable!


Jolina Li

Headshot of Jolina Li, smiling
Toronto, Ontario, Canada
GDSC Lead
Google Developer Student Club, University of Toronto St. George

What does Google I/O mean to you, and what are you looking forward to most this year?

It has been a dream for me since high school to attend Google I/O. In previous years, I would watch clips of the keynotes online and browse through creators’ YouTube vlogs to see all the incredible technologies at the hands-on stations. This May, I can’t believe I will be traveling to Mountain View and experiencing Google I/O 2023 for the first time live in person. For me, Google I/O is an opportunity to connect with passionate individuals in the developer community, including students, and experts from around the world. It is a full day of learning, inspiration, innovation, community, and growth. This year, I’m looking forward to hearing all the exciting keynotes in person, interacting with transformative technology, and making new connections.


What's your favorite part about Google I/O?

My favorite part about Google I/O is the technical sessions after the keynotes, where I can learn about innovative products from experts and engage in product demonstrations. I love seeing developments in machine learning, so I will definitely visit the TensorFlow station. I’m also excited to explore other Google technology stations, including Google Cloud and Google Maps Platform, and learn as much as I can.


What Google tools have you used to build?

I have used Android to build mobile apps for my software design course and a tech entrepreneurship competition. I have also used Google Colab, a cloud-based Jupyter notebook environment, for my research and deep learning engineering internships.


Which tool has been your favorite? Why?

I love using Google Colab because it’s an accessible and cost-free tool for students working on data science and machine learning projects. The environment requires no setup and offers expensive computing resources such as GPUs at no cost. It uses Python, my favorite language, and contains all the main Python libraries. The user interface features independent code segments you can run and test rather than running the entire script every time you edit code. There is also an option to add text segments between code to document various script components. Google Colab notebooks can be easily shared with anyone for collaboration and stored in Google Drive for convenient access.


Tell us about something you've built in the past using Google tools.

For my software design course project, a few teammates and I built a cooking recipe organizer app using Android Studio that allows users to discover new recipes and build their own portfolio of recipes. Users can save interesting recipes that they found, give ratings and reviews, and also upload their own recipes to the database. I designed a recipe sorting and filtering system that allows users to sort their saved recipes alphabetically, by interest keywords or rating, and filter their recipes by genre.

Android Studio allowed me to preview the mobile app development using an emulator that functions across all types of Android devices. This feature helped me to understand the app from a user’s perspective and develop the UI/UX more efficiently. We also used Google Firebase for its cloud storage, non-relational feature, and high compatibility with Android.


What advice would you give someone starting in their developer journey?

When I began attending university, I had no experience in programming and had to start my computer science career from zero. I pursued computer science, however, because I was interested in learning about AI and building technology to solve global problems such as climate change.

I believe that when you are starting your career, it’s important to have a goal about what you want to achieve. There are so many possibilities in tech, and having a goal can help you make decisions and motivate you when you’re facing challenges. It’s also important to keep an open mind about different opportunities and explore multiple areas in tech to learn more about the field and discover your passions.

Another tip is to look for opportunities and resources to help you grow as a developer. Many opportunities and resources are available for beginners, including online courses, self-guided project tutorials, and beginner-friendly workshops.

Google has amazing developer communities, including student campus clubs (GDSC), professional developer groups (GDG), Google developer expert groups (GDE), and a women in tech community (WTM). You can also create your own opportunities by teaching a hands-on workshop to enhance your technical and soft skills, starting a local developer group to gain leadership and collaboration skills, or building projects to increase your knowledge and apply what you learn.

Learn a lot, discover new opportunities, gain new skills, connect with people in tech, and keep pursuing what you love about technology!

Maria Paz Muñoz Parra

Headshot of Maria Paz Muñoz Parra, smiling
Malmö, Sweden
Google Developer Groups Organizer and Women Techmakers Ambassador
Senior front-end developer, IKEA


What does Google I/O mean to you, and what are you looking forward to most this year?

Google I/O is an opportunity to stay up to date in Google technologies and initiatives. We get to witness innovation, connect with other developers and generate energetic conversations about what we are passionate about.

Besides Bard, this year I have a special interest in the WebGPU API. Currently, I work as a senior front-end developer on a Knowledge Graph project. There, one of the most powerful tools for ontologists and data scientists to model and understand data are the canvases. I’m curious about how we can boost the performance when rendering these graphs on the web, using the new features of WebGPU. Google I/O will surely be an inspiration for my work.


What's your favorite part about Google I/O?

It’s the perfect excuse to meet my colleagues and watch the event together, popcorn included! In the online realm, it’s always fun to follow the discussions on social media, and Google always finds a way to surprise us and keep us engaged in our learning process. I still remember the I/O Adventure platform of 2022. It was an outstanding virtual experience, interacting with people in the community booths. Later, I also followed the recorded talks. A gamified learning experience, top to bottom!


What Google tools have you used to build?

The devTools have been my everyday tools for the past 10 years. The ones that I have used the most are the Core Web Vital metrics, devTools for debugging (extra love for the ones to debug accessibility issues), and tools for testing CSS on the browser (i.e. the grid properties and the media queries emulation features).

Since last year, I’ve been testing the Instant Loading and Seamless APIs, and they have allowed me to deliver high-quality interfaces with intuitive navigation, as we are used to having in native mobile apps.


Which tool has been your favorite? Why?

Accessibility guidelines and tools are my favorite. Lighthouse, the accessibility scanner, and Material Design. These tools help us ensure that all users, including those with disabilities, can access and use content and services published on the web. With these tools integrated, other users can start educating themselves on the power of accessibility. My interest in this space started when I noticed that my mother, who has low vision and motor impairments in her hands, couldn’t easily access her favorite music on her phone. The voice search feature on YouTube was revolutionary for her, and probably for many other elders.

Many questions popped into my mind: “Who is considered a user with a disability? How are the interfaces I create used? Am I creating unintentional barriers?”

As a web developer, tools that allow me to test, audit, understand and improve are a must.


Tell us about something you've built in the past using Google tools.

I collaborated with my friends to build a web app aimed at helping people understand and analyze soccer games easier and faster with pre-trained ML models. This app includes accessing YouTube video sources, detecting targets with Yolo-v3 in TensorFlow, accelerating computation with Colab GPU, and storing results in Google Cloud.


What advice would you give someone starting in their developer journey?

Many developers who start their journey come from other areas of expertise or industries. Imagine a journalist, nurse, or primary school teacher who wants to start a developer journey. They may feel they need to throw away all the knowledge they have acquired.

On the contrary, I believe prior knowledge is key to standing out as a developer. Every person has a different combination of interests, talents, and skills. Master the basics, and shine with your own story.

From meeting talented developers to exciting keynotes, there’s so much to look forward to at Google I/O 2023. To optimize your experience, create or connect a developer profile, and start saving content to My I/O to build your personal agenda. Share your experience with us by using #GoogleIO across your social media so we can find you!

A Tool for Exploring and Testing Google Workspace APIs

Posted by Chanel Greco, Developer Advocate Google Workspace

We recently launched the Google Workspace APIs Explorer, a new tool to help streamline developing on the Google Workspace Platform. What is this handy tool and how can you start using it?

The Google Workspace APIs Explorer is a tool that allows you to explore and test Google Workspace APIs without having to write any code. It's a great way to get familiar with the capabilities of the many Google Workspace APIs.

The Google Workspace APIs Explorer is a web-based tool that allows you to interact with Google Workspace APIs in a visual way.

Screenshot of Google Workspace API Explorer

How to use the Google Workspace APIs Explorer

To use this tool, simply navigate to the Google Workspace APIs Explorer page and select the API that you want to explore. The Google Workspace APIs Explorer will then display a list of all the methods available for that API. You can click on any method to see more information about it, including its parameters, responses, and examples.

To test an API method, simply enter the required parameters and click on the "Execute" button. The Google Workspace APIs Explorer will then send the request to the API and return the response. Please note, the tool acts on real data and authenticates with your Google Account, so use caution when trying methods that create, modify, or delete data.

Screenshot of Google Sheets API get in Google workspace API Explorer
Click to enlarge

How you can benefit from using the Google Workspace APIs Explorer

These are some of the benefits of using the Google Workspace APIs Explorer:

  • You can browse and discover the 25+ different Google Workspace APIs.
  • The tool can help you create code samples for your integrations or add-ons.
  • It can assist with troubleshooting problems with Google Workspace APIs.
  • It is a neat way to see the results of API requests in real time.

Getting started

You can access the Google Workspace APIs Explorer tool on the Google Workspace for Developers documentation, either through the navigation (Resources > API Explorer), or on its dedicated page. You will need a Google account to use the tool. This account can either be a Google Workspace account or the Google account you use for accessing tools like Gmail, Drive, Docs, Calendar, and more.

We also have a video showing how you can get started using the Google Workspace APIs Explorer – check it out here!

Machine Learning Communities: Q1 ‘23 highlights and achievements

Posted by Nari Yoon, Bitnoori Keum, Hee Jung, DevRel Community Manager / Soonson Kwon, DevRel Program Manager

Let’s explore highlights and accomplishments of vast Google Machine Learning communities over the first quarter of 2023. We are enthusiastic and grateful about all the activities by the global network of ML communities. Here are the highlights!



ML Campaigns



ML Community Sprint

ML Community Sprint is a campaign, a collaborative attempt bridging ML GDEs with Googlers to produce relevant content for the broader ML community. Throughout Feb and Mar, MediaPipe/TF Recommendation Sprint was carried out and 5 projects were completed.


ML Olympiad 2023

I'm hosting a competiton ML Olympiad 2023 #MLOlympiad

ML Olympiad is an associated Kaggle Community Competitions hosted by ML GDE, TFUG, 3rd-party ML communities, supported by Google Developers. The second, ML Olympiad 2023 has wrapped up successfully with 17 competitions and 300+ participants addressing important issues of our time - diversity, environments, etc. Competition highlights include Breast Cancer Diagnosis, Water Quality Prediction, Detect ChatGpt answers, Ensure healthy lives, etc. Thank you all for participating in ML Olympiad 2023!

Also, “ML Paper Reading Clubs” (GalsenAI and TFUG Dhaka), “ML Math Clubs” (TFUG Hajipur and TFUG Dhaka) and “ML Study Jams” (TFUG Bauchi) were hosted by ML communities around the world.


Community Highlights



Keras


Screen shot of Fine-tuning Stable Diffusion using Keras

Various ways of serving Stable Diffusion by ML GDE Chansung Park (Korea) and ML GDE Sayak Paul (India) shares how to deploy Stable Diffusion with TF Serving, Hugging Face Endpoint, and FastAPI. Their other project Fine-tuning Stable Diffusion using Keras provides how to fine-tune the image encoder of Stable Diffusion on a custom dataset consisting of image-caption pairs.

Serving TensorFlow models with TFServing by ML GDE Dimitre Oliveira (Brazil) is a tutorial explaining how to create a simple MobileNet using the Keras API and how to serve it with TF Serving.

Fine-tuning the multilingual T5 model from Huggingface with Keras by ML GDE Radostin Cholakov (Bulgaria) shows a minimalistic approach for training text generation architectures from Hugging Face with TensorFlow and Keras as the backend.


Image showing a range of low-lit pictures enhanced incljuding inference time and ther metrics

Lighting up Images in the Deep Learning Era by ML GDE Soumik Rakshit (India), ML GDE Saurav Maheshkar (UK), ML GDE Aritra Roy Gosthipaty (India), and Samarendra Dash explores deep learning techniques for low-light image enhancement. The article also talks about a library, Restorers, providing TensorFlow and Keras implementations of SoTA image and video restoration models for tasks such as low-light enhancement, denoising, deblurring, super-resolution, etc.

How to Use Cosine Decay Learning Rate Scheduler in Keras? by ML GDE Ayush Thakur (India) introduces how to correctly use the cosine-decay learning rate scheduler using Keras API.


Screen shot of Implementation of DreamBooth using KerasCV and TensorFlow

Implementation of DreamBooth using KerasCV and TensorFlow (Keras.io tutorial) by ML GDE Sayak Paul (India) and ML GDE Chansung Park (Korea) demonstrates DreamBooth technique to fine-tune Stable Diffusion in KerasCV and TensorFlow. Training code, inference notebooks, a Keras.io tutorial, and more are in the repository. Sayak also shared his story, [ML Story] DreamBoothing Your Way into Greatness on the GDE blog.

Focal Modulation: A replacement for Self-Attention by ML GDE Aritra Roy Gosthipaty (India) shares a Keras implementation of the paper. Usha Rengaraju (India) shared Keras Implementation of NeurIPS 2021 paper, Augmented Shortcuts for Vision Transformers.

Images classification with TensorFlow & Keras (video) by TFUG Abidjan explained how to define an ML model that can classify images according to the category using a CNN.

Hands-on Workshop on KerasNLP by GDG NYC, GDG Hoboken, and Stevens Institute of Technology shared how to use pre-trained Transformers (including BERT) to classify text, fine-tune it on custom data, and build a Transformer from scratch.


On-device ML

Stable diffusion example in an android application — Part 1 & Part 2 by ML GDE George Soloupis (Greece) demonstrates how to deploy a Stable Diffusion pipeline inside an Android app.

AI for Art and Design by ML GDE Margaret Maynard-Reid (United States) delivered a brief overview of how AI can be used to assist and inspire artists & designers in their creative space. She also shared a few use cases of on-device ML for creating artistic Android apps.


ML Engineering (MLOps)


Overall system architecture of End-to-End Pipeline for Segmentation with TFX, Google Cloud, and Hugging Face

End-to-End Pipeline for Segmentation with TFX, Google Cloud, and Hugging Face by ML GDE Sayak Paul (India) and ML GDE Chansung Park (Korea) discussed the crucial details of building an end-to-end ML pipeline for Semantic Segmentation tasks with TFX and various Google Cloud services such as Dataflow, Vertex Pipelines, Vertex Training, and Vertex Endpoint. The pipeline uses a custom TFX component that is integrated with Hugging Face Hub - HFPusher.

Extend your TFX pipeline with TFX-Addons by ML GDE Hannes Hapke (United States) explains how you can use the TFX-Addons components or examples.



Textual Inversion Pipeline architecture

Textual Inversion Pipeline for Stable Diffusion by ML GDE Chansung Park (Korea) demonstrates how to manage multiple models and their prototype applications of fine-tuned Stable Diffusion on new concepts by Textual Inversion.

Running a Stable Diffusion Cluster on GCP with tensorflow-serving (Part 1 | Part 2) by ML GDE Thushan Ganegedara (Australia) explains how to set up a GKE cluster, how to use Terraform to set up and manage infrastructure on GCP, and how to deploy a model on GKE using TF Serving.


Photo of Googler Joinal Ahmed giving a talk at TFUG Bangalore

Scalability of ML Applications by TFUG Bangalore focused on the challenges and solutions related to building and deploying ML applications at scale. Googler Joinal Ahmed gave a talk entitled Scaling Large Language Model training and deployments.

Discovering and Building Applications with Stable Diffusion by TFUG São Paulo was for people who are interested in Stable Diffusion. They shared how Stable Diffusion works and showed a complete version created using Google Colab and Vertex AI in production.


Responsible AI


Thumbnail image for Between the Brackets Fairness & Ethics in AI: Perspectives from Journalism, Medicine and Translation

In Fairness & Ethics In AI: From Journalism, Medicine and Translation, ML GDE Samuel Marks (United States) discussed responsible AI.

In The new age of AI: A Convo with Google Brain, ML GDE Vikram Tiwari (United States) discussed responsible AI, open-source vs. closed-source, and the future of LLMs.

Responsible IA Toolkit (video) by ML GDE Lesly Zerna (Bolivia) and Google DSC UNI was a meetup to discuss ethical and sustainable approaches to AI development. Lesly shared about the “ethic” side of building AI products as well as learning about “Responsible AI from Google”, PAIR guidebook, and other experiences to build AI.

Women in AI/ML at Google NYC by GDG NYC discussed hot topics, including LLMs and generative AI. Googler Priya Chakraborty gave a talk entitled Privacy Protections for ML Models.


ML Research

Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task by ML GDE Radostin Cholakov (Bulgaria) showcases how, in a task-oriented setting, the T5-small language model can perform on par with existing systems relying on T5-base or even bigger models.

Learning JAX in 2023: Part 1 / Part 2 / Livestream video by ML GDE Aritra Roy Gosthipaty (India) and ML GDE Ritwik Raha (India) covered the power tools of JAX, namely grad, jit, vmap, pmap, and also discussed the nitty-gritty of randomness in JAX.


Screen grab from JAX Streams: Parallelism with Flax | Ep4 with David Cardozo and Cristian Garcia

In Deep Learning Mentoring MILA Quebec, ML GDE David Cardozo (Canada) did mentoring for M.Sc and Ph.D. students who have interests in JAX and MLOps. JAX Streams: Parallelism with Flax | EP4 by David and ML GDE Cristian Garcia (Columbia) explored Flax’s new APIs to support parallelism.

March Machine Learning Meetup hosted by TFUG Kolkata. Two sessions were delivered: 1) You don't know TensorFlow by ML GDE Sayak Paul (India) presented some under-appreciated and under-used features of TensorFlow. 2) A Guide to ML Workflows with JAX by ML GDE Aritra Roy Gosthipaty (India), ML GDE Soumik Rakshit (India), and ML GDE Ritwik Raha (India) delivered on how one could think of using JAX functional transformations for their ML workflows.

A paper review of PaLM-E: An Embodied Multimodal Language Model by ML GDE Grigory Sapunov (UK) explained the details of the model. He also shared his slide deck about NLP in 2022.

An annotated paper of On the importance of noise scheduling in Diffusion Models by ML GDE Aakash Nain (India) outlined the effects of noise schedule on the performance of diffusion models and strategies to get a better schedule for optimal performance.


TensorFlow

Three projects were awarded as TF Community Spotlight winners: 1) Semantic Segmentation model within ML pipeline by ML GDE Chansung Park (Korea), ML GDE Sayak Paul (India), and ML GDE Merve Noyan (France), 2) GatedTabTransformer in TensorFlow + TPU / in Flax by Usha Rengaraju, and 3) Real-time Object Detection in the browser with YOLOv7 and TF.JS by ML GDE Hugo Zanini (Brazil).

Building ranking models powered by multi-task learning with Merlin and TensorFlow by ML GDE Gabriel Moreira (Brazil) describes how to build TensorFlow models with Merlin for recommender systems using multi-task learning.


Transform your Web Apps with Machine Learning: Unleashing the Power of Open-Source Python Libraries like TensorFlow Hub & Gradio Bhjavesh Bhatt @_bhaveshbhatt

Building ML Powered Web Applications using TensorFlow Hub & Gradio (slide) by ML GDE Bhavesh Bhatt (India) demonstrated how to use TF Hub & Gradio to create a fully functional ML-powered web application. The presentation was held as part of an event called AI Evolution with TensorFlow, covering the fundamentals of ML & TF, hosted by TFUG Nashik.

create-tf-app (repository) by ML GDE Radostin Cholakov (Bulgaria) shows how to set up and maintain an ML project in Tensorflow with a single script.


Cloud

Creating scalable ML solutions to support big techs evolution (slide) by ML GDE Mikaeri Ohana (Brazil) shared how Google can help big techs to generate impact through ML with scalable solutions.

Search of Brazilian Laws using Dialogflow CX and Matching Engine by ML GDE Rubens Zimbres (Brazil) shows how to build a chatbot with Dialogflow CX and query a database of Brazilian laws by calling an endpoint in Cloud Run.


4x4 grid of sample results from Vintedois Diffusion model

Stable Diffusion Finetuning by ML GDE Pedro Gengo (Brazil) and ML GDE Piero Esposito (Brazil) is a fine-tuned Stable Diffusion 1.5 with more aesthetic images. They used Vertex AI with multiple GPUs to fine-tune it. It reached Hugging Face top 3 and more than 150K people downloaded and tested it.

Get ready for Google I/O

Posted by Timothy Jordan, Director, Developer Relations & Open Source

I/O is just a few days away and we couldn’t be more excited to share the latest updates across Google’s developer products, solutions, and technologies. From keynotes to technical sessions and hands-on workshops, these announcements aim to help you build smarter and ship faster.

Here are some helpful tips to maximize your experience online.


Start building your personal I/O agenda

Starting now, you can save the Google and developer keynotes to your calendar and explore the program to preview content. Here are just a few noteworthy examples of what you’ll find this year:

What's new in Android
Get the latest news in Android development: Android 14, form factors, Jetpack + Compose libraries, Android Studio, and performance.
What’s new in Web
Explore new features and APIs that became stable across browsers on the Web Platform this year.
What’s new in Generative AI
Discover a new suite of tools that make it easy for developers to leverage and build on top of Google's large language models.
What’s new in Google Cloud
Learn how Google Cloud and generative AI will help you develop faster and more efficiently.

For the best experience, create or connect a developer profile and start saving content to My I/O to build your personal agenda. With over 200 sessions and other learning material, there’s a lot to cover, so we hope this will help you get organized.

This year we’ve introduced development focus filters to help you navigate content faster across mobile, web, AI, and cloud technologies. You can also peruse content by topic, type, or experience level so you can find what you’re interested in, faster.


Connect with the community

After the keynotes, you can talk to Google experts and other developers online in I/O Adventure chat. Here you can ask questions about new releases and learn best practices from the global developer community.

If you’re craving community now, visit the Community page to meet people with similar interests in your area or find a watch party to attend.

We hope these updates are useful, and we can’t wait to connect online in May!

Google launches inaugural North American Google for Startups Accelerator: Cloud

Posted by Ashley Francisco, Head of Startup Developer Ecosystem, North America, & Darren Mowry, Managing Director, Corporate Sales

Startups are solving the world’s most important challenges with agility, innovative technology, and determination, and Google is proud to support them.

TL;DR: Applications are now open for the inaugural North American Google for Startups Accelerator: Cloud cohort. Designed to help connect founders who are building with Cloud to the people, products, and best practices they need to grow, this 10-week virtual accelerator will help 8-12 startups prepare for the next phase of their growth journey.

Around the world, the cloud is helping businesses and governments accelerate their digital transformations, scale their operations, and innovate in new areas. At Google Cloud, we’re helping businesses solve some of their toughest challenges. For instance, we’ve partnered with innovative digital native companies like cart.com to democratize ecommerce by giving brands of all sizes the full capabilities needed to take on the world’s largest online retailers, and with dynamic startups like kimo.ai which leverages our AI tools to transform traditional approaches to online learning.

The adoption and acceleration of Google Cloud unlocks massive potential for startups as the global cloud market is set to grow to more than $470 billion over the next five years. With the artificial intelligence/machine learning (AI/ML) landscape evolving rapidly, this moment presents an exciting and unique opportunity for startups. The Google for Startups Accelerator: Cloud program helps cloud-native startups using AI/ML to seize the opportunities ahead.

Starting today, U.S.- and Canada-based startups can apply for the Google for Startups Accelerator: Cloud program. This equity-free, 10-week virtual accelerator will offer cloud mentorship and technical project support, as well as deep dives and workshops on product design, customer acquisition and leadership development for cloud startup founders and leaders.

The Accelerator program is designed to bring the best of Google's programs, products, people and technology to startups doing impactful work in the cloud.

Here’s what our recent North American Accelerator alumni had to say:

“Thanks to truly amazing mentorship and direct access to Googlers, we have been able to reach new levels of specialized knowledge and deployment capability in our GCP architecture and artificial intelligence projects. From a technical perspective to a business growth standpoint, this is simply invaluable. What we have built in three months with Google will be a part of our upcoming next-gen product line in both Healthcare and Non-Healthcare settings. We deeply thank all Googlers for their exceptional participation in our journey."Francois Gand, Founder and CEO, NURO

"The accelerator provided F8th Inc. with so much more than we could have ever dreamed. The meaningful mentorship relationships that have been created continue to endure, the workshops have been impactful in helping our business scale, and we have developed new business contacts both in Canada and the US. The incredible support and guidance we received has been second to none. It’s been great to have access to a multidisciplinary team and Google’s outside-the-box thinking.” — Vivene Salmon, Co-Founder, F8th Inc."Vivene Salmon, Co-Founder, F8th Inc.

Applications are now being accepted until May 30, and the Accelerator will kick-off this July. Interested startups leveraging cloud to drive growth and innovation are encouraged to apply here.

#WeArePlay | Meet Maria, AnnMaria and Dennis from the USA. More stories from around the world

Posted by Leticia Lago, Developer Marketing

From underserved communities needing more support with kids' education, to struggling to preserve the memories of passed loved ones. In our latest release of #WeArePlay stories, we’re celebrating the inspiring founders who identified problems around them and made apps or games to solve them.


Starting with Maria, Annmaria and Dennis from Minnesota, USA - founders of 7 Generation Games. Growing up as a Latina in rural North Dakota, Maria wanted to build something inspired by her experiences and help support the education gap in underserved communities. She teamed up with her mom AnnMaria, a teacher and computer programmer, and software developer Dennis, to set up 7 Generation Games. They make educational games – in English, Spanish and indigenous languages – to improve math skills of Hispanic and Native American children. Making Camp Ojibwe is a village-building simulation where players earn points by answering math and social studies questions. Now with multiple titles, their games are proven to improve children’s school results.


#WeArePlay David, Arman & Hayk ZOOMERANG Yerevan, Armenia, Google Play
Next, David, Arman & Hayk from Armenia - founders of Zoomerang. After uploading his music online, David got limited views because his video editing wasn’t engaging. It was his passion for music that led him to start Zoomerang with co-founders Arman and Hayk. They created a platform where content creators could get editing templates for their videos, allowing thousands to grow their brand and vivify their content.


#WeArePlay Rama LITTLE THINKING MINDS Amman, Jordan, Google Play
Next, Rama from Jordan - founder of Little Thinking Minds. When she and her friend and co-founder Lamia had their first boys, they struggled to find resources to teach their children Arabic. So, they utilized their background in film production and started making children’s videos in Arabic in their backyards. When they held a screening at a local cinema, over 500 parents and children came to watch it, and they had to screen it multiple times. A few years later and the content is now digitized in a series of apps used in schools of 10 countries. The most popular, I Read Arabic, has educational videos, books, games, and a dashboard for teachers to track students' progress.


#WeArePlay Prakash FORKEEPS Cape Town, South Africa, Google Play
Last but not least, Prakash from South Africa - founder of ForKeeps. When Prakash’s sister passed away, his nieces longed to hear her voice again and keep her memory alive. When his father died, he felt the same and regretted not having all his photos and messages in one place. This inspired Prakash and his co-founders to create ForKeeps: a platform for preserving a person’s legacy with photo albums, stories, and voice messages. Through the app, people can feel their loved one’s presence after they're gone. The Forever Album tool also allows the audience to share and celebrate special occasions in real time. Now Prakash’s goal is to help more people across different cultures around the world record memories for their loved ones.


Check out their stories now at g.co/play/weareplay and keep an eye out for more stories coming soon.


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6 Flutter/Dart Projects from Google Dev Library to Kickstart Your Next Project

Posted by Swathi Dharshna Subbaraj, Project Coordinator, Google Dev Library

Developers can build, test, and deploy any application from a single codebase in Flutter. With high performance and code reusability, it has transformed the app development process. Flutter has become the go-to framework for developers as it streamlines the development process, allowing applications to be built on multi-platform with ease and efficiency.

In this blog, we will explore 6 Flutter/Dart projects from Google Dev Library from building weather apps to Tetris games. These projects will help you grow as a developer, and inspire you to build your first open source project. Let's dive in!

Flutter Design Patterns by Mangirdas Kazlauskas

screen grab of Flutter design patterns by Mangirdas Kazlauskas

Design patterns are reusable solutions to common software development problems. They help you create software that is easier to maintain, extend, and refactor. Written in Dart, this repository showcases all 23 design patterns, as described in Design Patterns: Elements of Reusable Object-Oriented Software, to help you learn and apply design patterns in your own projects, improving the quality and maintainability of your code. 

Check out Flutter design patterns


Smart Home App by Lakhan Kumawat

A mobile application (developed using Flutter and Dart) designed to control various smart home devices. The app also allows users to create custom scenes to automate device actions based on certain conditions or events. 

Check out the Smart Home App


Photo Manager by Alex Li

Learn about an easy-to-use package for accessing a device's photo library, including operations like retrieving images, videos, and albums, as well as deleting, creating, and updating files in the photo library. This package is built using the Flutter plugin architecture, which enables it to interact with native platform APIs for accessing photos and videos on iOS and Android devices. 

Check out photo_manager


Tetris Flutter Game by Mouaz M. Al-Shahmeh

This project implements the classic Tetris game using the Flutter framework. It’s structured into several classes that handle different aspects of the game. 

Check out Tetris Flutter game


FlutterGen by Daichi Furiya

FlutterGen is a code generator tool that helps you automate the process of generating boilerplate code for assets and fonts, making it easier to use them in Flutter projects. It works by scanning a project directory for specified assets and font files and generates code that can be easily used within a Flutter application. Overall, FlutterGen can save you time and effort in managing assets and fonts in your Flutter projects. 

Check out the FlutterGen package


Flutter Maps by Souvik Biswas

This app uses the Google Maps SDK & Directions API when coding with Flutter. It offers several location-based functions, including the ability to detect the user's current location. It also uses Geocoding to convert addresses into coordinates and vice versa, and allows users to add markers to the map view. 

Check out the Flutter Maps package


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Google at KotlinConf ‘23

Posted by Márton Braun, Developer Relations Engineer

As part of Google’s ongoing commitment to supporting the Kotlin language, we are really excited to be a gold level sponsor for KotlinConf again this year. Grace Kloba shared the story of Google’s investments in Kotlin within the keynote, which is recapped in this post. You’ll also find the list of talks by Google from the event’s schedule below, make sure you catch these on the live stream.

For a summary of all KotlinConf keynote announcements, read the blog post by JetBrains.

Kotlin for Android

Kotlin started gaining popularity in the Android community around 2016. We were also impressed with Kotlin’s concise syntax, modern features, and safety. In 2017, we announced official support for Kotlin on Android, and committed to its future by creating the Kotlin Foundation with JetBrains.

Since then we invested in Kotlin by adding support in Android Studio, teaching the language to developers, and going Kotlin-first with our libraries, documentation, and samples. We also built Kotlin Symbol Processing, an API that enables annotation processors to run up to twice as fast as previous solutions.

Today, Kotlin is the most popular language for Android development. Over 95% of the top 1000 Android apps use Kotlin, and over 50% of professional Android developers use Kotlin as their primary language (compared with 25% choosing the Java programming language).

Among professional Android developers using Kotlin, we saw a 96.9% positive satisfaction rate in our latest annual survey, which is 9-points higher than their Java counterparts.

As our final step in making Kotlin the single language for Android development, we’re excited to announce today that the Gradle Kotlin DSL is becoming the default build language for Android apps, starting in Android Studio Giraffe. Read the blog post to learn more.

Jetpack Compose

Since going Kotlin-first, all new Jetpack libraries are written in Kotlin. Jetpack Compose, our modern toolkit for building Android apps, is Kotlin-only. It makes extensive use of Kotlin’s language features, and its implementation is made possible by Kotlin’s rich compiler API, which allows us to generate state management logic for you.

Jetpack Compose is changing the way developers build apps. The team from Clue shared with us that their development speed increased up to 3x after rewriting their app in Compose. Over 23% of the top 1000 Android apps ship with Compose, more than double year over year.

There are many resources available to learn Compose. For existing Android developers looking to expand their knowledge, we’ve published the Jetpack Compose for Android Developers course. For beginners to programming, we recommend taking the Android Basics with Compose course to learn Kotlin, Android, and Compose.

Kotlin at Google

Kotlin became generally available for Android development within Google in 2019. Since then, most of our Android apps are being built with Kotlin. As an example of the benefits, when the Google Home team migrated to Kotlin they saw a 33% decrease in NullPointerExceptions, which greatly improved the end user experience.

However, Google’s interest in Kotlin does not stop at Android apps. More than 45% of our engineers who write Kotlin use it for server development. We have over 15 million lines of Kotlin code in Google’s source control system, and this has been doubling year over year.

To support this, we have a dedicated team building tools to integrate Kotlin into Google’s ecosystem. You can catch the Adopting Kotlin at Google scale session for more details.

We’re looking forward to the new compiler in Kotlin 2.0, which will be a major improvement for developer productivity. We have a dedicated team working with JetBrains on the compiler, and we’re working to incorporate it into our tooling, including Android Studio, KSP, and the Compose compiler. We’re also leveraging our large internal codebase of Kotlin code to verify the compatibility of the new compiler.

Multiplatform

Looking forward, we are experimenting with Kotlin Multiplatform. This includes the Google Workspace team, who have a prototype with the business logic of Google Docs running on iOS using Kotlin Multiplatform and Kotlin/Native. Check out the Kotlin Multiplatform in Google Workspace lightning talk to learn more.

As part of our explorations into Kotlin Multiplatform, we’ve also made contributions that will benefit the community:

  • We’ve ported a set of Jetpack libraries to multiplatform. This allows you to use tools and APIs you know and love from Android and apply them to multiplatform. 
  • We’ve contributed to the Kotlin/Native toolchain, improving its performance. 
  • We’ve been helping out with the Gradle plugin for Kotlin Multiplatform, to give you more control over each target platform while still sharing as much code as possible.

Kotlin Foundation

As a founding member of the Kotlin Foundation, we’re excited about the Foundation’s expansions announced at KotlinConf:

  • Inviting more companies to collaborate on the development and promotion of Kotlin through a membership program
  • Offering funding for individual authors of actively maintained, open source Kotlin Multiplatform libraries.

With these steps, we continue to foster a healthy ecosystem for the language, and ensure its future advancement.

Catch us at KotlinConf

We look forward to sharing more in our sessions at KotlinConf, which you can tune in to on the live stream. If you’re attending in person, you can also visit us at our booth to have a chat about Kotlin.

April 13 schedule

Adopting Kotlin at Google scale
Jeffrey van Gogh, John Pampuch

Spring + Kotlin = Modern + Reactive + Productive
Josh Long, James Ward

Kotlin Multiplatform in Google Workspace
Jason Parachoniak

Kotlin Multiplatform Conversions at Android Jetpack Scale
Dustin Lam, James Ward

Untangling Coroutine Testing
Márton Braun

Adventures building a Kotlin Multiplatform Benchmarking Library
Rahul Ravikumar

April 14 schedule

Tracing coroutines in the JVM
Tyson Henning

Preventing Data Races in Async Coroutines
Kevin Bierhoff

Avoiding common coroutines mistakes in Compose
Márton Braun

*Java is a trademark or registered trademark of Oracle and/or its affiliates.

Google Dev Library Newsletter: 20th Edition

Posted by the Dev Library team

In this newsletter, we’re highlighting the best projects developed with Google technologies that have been contributed to the Google Dev Library platform. We hope this will spark some inspiration for your next project!


Highlights of the Month - Cloud Champions


Google Anthos in a nutshell by Navveen Balani


GCP Anthos Config Management Architecture

Dive into the overview on Anthos Service Mesh (ASM) and go through the topology supported by ASM and high level steps to implement multi cluster service mesh on a single and multiple VPC network.

Read more on Dev Library


Google Cloud Contact Center Artificial Intelligence (CCAI) by Rubens Zimbres

Explore the concept of CCAI and how it can be used to improve customer service, along with tools that can be integrated with existing contact center infrastructure to automate and optimize various processes.

Read more on Dev Library


Build a chat server with Cloud Run by Jaeyeon Baek

Explore how to build a chat server with Cloud Run using Python as the development language with the FastAPI framework.

Read more on Dev Library


Android


DocuBox by Vaibhav Jaiswal

Learn to build an app like DocuBox, which is designed to manage and organize documents on an Android device.

WebRTC Android by Jaewoong Eum

Understand how the WebRTC pre-compiled library for Android reflects the recent WebRTC updates to facilitate real-time video chat for Android.

WebRTC in Jetpack Compose by Jaewoong Eum

Discover how the project demonstrates WebRTC protocol to facilitate real-time video communications with Jetpack Compose.

TabSync, a lightweight synchronizer between Android's Tabs and Lists by Ahmad Hamwi

Learn how to add a synchronizer between Android’s RecyclerView and TabLayout, and what are the use cases of such on mobile devices.


Angular


Directives in practice: user role-based element control by Paweł Kubiak

Explore the concept of structural and attribute directives in Angular, which can be added to HTML elements to modify behavior or appearance.


Flutter


Ultimate guide to becoming a Flutter expert by Isaac Adariku

Become an Expert Flutter developer by mastering these concepts.

Handling complex HTML in Flutter by Tanmoy Karmakar

Discover how to handle complex HTML content like tables, images, and links in a Flutter app using the flutter_html package.

Firebase Cloud Messaging (FCM) with Flutter by Ayesha Iftikhar

Learn how to use FCM in Flutter apps. FCM is a cloud messaging service that allows you to send notifications and messages to devices on different platforms, including Android, iOS, and the web.

Understanding app localization in Flutter by Caleb Jesusegun

Take a deep dive into app localization and learn how to implement it in Flutter using the intl package.


Machine Learning


Visualizing custom TFX artifacts with InteractiveContext by Suzen Fylke

Learn how you can use InteractiveContext to visualize custom TFX artifacts.

How is generative machine learning transforming finance? By Hannes Hapke

Follow these detailed steps to adopt large generative models for domain-specific, fine-tuned generative models using the TensorFlow ecosystem.


Yonatan Levin, Android GDE, uses his developer superpowers to help refugees in Ukraine

Posted by Kevin Hernandez, Developer Relations Community Manager

Headshot of Yonatan Levin, smiling
Yonatan Levin, R&D Tech Lead, Monday.com

Initial reaction to the news

At the beginning of Russia’s invasion of Ukraine, Android GDE Yonatan Levin was confused. He started his day just like any other - with exercise and a book - but on the day of the invasion, his phone was bombarded with text messages from friends, relatives, and coworkers. Normally a hard worker, Yonatan tried to go into work but as he sat at his desk, he had a distracting thought in the front of his mind. He recounts, “I was staring at my monitor and in my head, all I kept repeating was, ‘I have to do something, I have to do something.’” He messaged coworkers about the situation to see what they could do and eventually, the leadership of his or gave Yonatan their blessing to go to the Ukraine / Poland border and help the refugees. Yonatan and his friends immediately packed their bags and set out to Poland.

Arriving at the border

Yonatan and his friends landed and immediately drove 6 hours from Warsaw to the border where camps organized by volunteers were located. When he got there, he and his friends felt immediate shock. They saw thousands of refugees crammed in a small space with their whole lives packed into bags. His feeling of shock quickly wore off as he saw the unorganized volunteer efforts; he started focusing on ways to support relief efforts as a developer.

Yonatan noticed that there were volunteers arriving from all over Europe to offer free rides, accommodation, or even work opportunities. However, there was little technology being used - volunteers held up signs with locations they were driving to. The current matchmaking process was inefficient, so he decided to build an Android app and a solution on top of monday.com (an all-in-one work management software) where volunteers with cars and refugees registered online and were matched based on where they needed to go.

Using technology to turn chaos into order

Just like any new idea or a startup, Yonatan’s group went through iterations before they had a solution that truly worked. To replace the cardboard signs that volunteer drivers held up, Yonatan and his friends bought laptops and a TV so they could display a list of drivers and their destinations. Then, they matched refugees with volunteer drivers - but this proved to be a manual solution. They offered this solution to other camps but when they came back to the original site, they found that the laptops were closed and volunteers reverted back to the old system of holding up cardboard signs. This was a sign to go back to the drawing board to create something that would stick.

While the laptops and TV screens helped, there were still large queues at the camps as busloads of refugees came in every few minutes. With monday.com, they created a registration form for the refugees and a completely new process. Once refugees arrived at the camp, they received a wristband with a QR code, registered their names, and selected what they needed: food, sim cards, a bed, a ride to a different city, etc. This new process took just 10 minutes and they built a dashboard to keep track of data in order to dedicate resources where they were needed. For example, if the most in-demand destination was Warsaw, volunteers knew to recruit more drivers heading there.

Yonatan and his friends were able to pull off the impressive feat of developing an entire Android app with 3rd party APIs integrations for driver verification and a core database with monday.com in just one night. “To build an app in one night is amazing. You can not easily do this with other platforms,” he observed. This was a turning point for the camps and volunteer organizers embraced this system.

Reflecting a year later

Yonatan hopes to inspire others through his experience. “This is something that happened very close to me. If I did something about it, I hope others know they can help too,” he urges. He expanded the system to other camps and remembers one of the organizers beaming that it was the best software they have ever used. Yonatan and his colleagues used their expertise to help refugees get to safety and he reflects on being a developer by saying, “It is a power that we developers have - to identify a huge pain and solve it with relatively minimal effort, sometimes in a matter of hours. This is a super power.”

Yonatan’s motto is to help in any way you can. He encourages other developers, “Things happen everywhere, all the time. Do not distance yourself from the struggles of others. Instead, search for ways you can help them.” Due to the changing environment, the app is not being used today but countless refugees were driven to safety thanks to Yonatan's developer superpowers.

You can find Yonatan on LinkedIn or Twitter.

The Google Developer Experts (GDE) program is a global network of highly experienced technology experts, influencers, and thought leaders who actively support developers, companies, and tech communities by speaking at events and publishing content.