Author Archives: Google Developers

ML Olympiad 2023: Globally Distributed ML Competitions by Google ML Community

Posted by Hee Jung, DevRel Community Manager

What is the ML Olympiad?

The ML Olympiad is an associated Kaggle Community Competitions hosted by ML GDE, TFUG, 3rd-party ML communities, supported by Google Developers. The ML Developer Programs team and the communities successfully ran the first round of the campaign in 2022 and are now launching the second round. The goal of this campaign is to provide ML training opportunities for developers by leveraging Kaggle’s features.

ML Olympiad Community Competitions

17 ML Olympiad community competitions are currently open. Visit the ML Olympiad page to participate.

Into the Space

  • Predicting which spaceship passengers were transported by the anomaly using records recovered from the spaceship’s damaged computer system.
  • Host: MD Shahriyar Al Mustakim Mitul / TFUG Dhaka

    Water Quality Prediction

    • Estimating the quality of water.
    • Hosts: Usha Rengaraju, Vijayabharathi Karuppasamy (TFUG Chennai), Samuel T (TFUG Mysuru)

      Breast Cancer Diagnosis

      • Predicting medical diagnosis [breast cancer].
      • Host: Ankit Kumar Verma / TFUG Prayagraj

        Book Recommendations

        • To provide personalized recommendations to users based on their reading history and preferences using various machine learning algorithms.
        • Hosts: Anushka Raj, Yugandhar Surya / TFUG Hajipur

          Argania Tree Deforestation Detection

          • Use Sentinel-2 satellite imagery to detect and map areas of deforestation in the Argania region.
          • Hosts: Taha Bouhsine / TFUG Agadir

            Multilingual Spell Correction

            • Reconstruct noisy sentences in European languages: English, French, German, Bulgarian and Turkish.
            • Host: Radostin Cholakov (ML GDE)

              CO2 Emissions Forecasting

              • Forecasting CO2 emissions based on deforestation in Côte d'Ivoire.
              • Hosts: Armel Yara, Kimana Misago, Jordan Erifried / TFUG Abidjan

                Ensure Healthy Lives (in local language) 

                • Use ML techniques to help achieve common good health and well-being.
                • Hosts: Vinicius Fernandes Caridá (ML GDE), Pedro Gengo, Alex Fernandes Mansano / TFUG São Paulo

                  Predictive Maintenance

                  • Predict future engine’s failures.
                  • Host: Daniel Pereda / TFUG Santiago

                    Firetrucks Are Red And Cars Are Blue

                    • To create a model that can accurately predict the correct class for each image, without overfitting.
                    • Host: Prasoon Kottarathil / TFUG Thrissur

                      Dialect Recognition (in Arabic) 

                      • Dialect recognition in order to improve user experience in AI applications.
                      • Hosts: Ruqiya Bin Safi (ML GDE), Eyad Sibai, Hussain Alfayez / Saudi TFUG & Applied ML/AI group

                        Sentiment Analysis Of JUMIA Tunisia  (in local language) 

                        • Use JUMIA customer reviews to determine the sentiment of content from text data.
                        • Host: Boulbaba BEN AMMAR / TFUG Sfax

                          Kolkata Housing Prediction

                          • Kolkata housing prediction results can be used to address related social and economic issues.
                          • Host: Rishiraj Acharya / TFUG Kolkata

                            Can You Guess The Beer Style?

                            • This is a machine learning competition focused on classifying beer into 17 distinct styles based on key descriptors.
                            • Host: Marvik

                              Detect ChatGpt answers

                              • The goal of this competition is to classify ChatGpt answers vs real human answers for a variety of questions.
                              • Host: Elyes Manai (ML GDE) / IEEE ESSTHS + GDSC ISETSO + PyData Tunisia

                                MLAct Pose Detection

                                • Raising awareness about some basic yoga poses, and encouraging our community members to practice the basic parts of computer vision.
                                • Host: Imen Masmoudi / MLAct ML Community

                                  Hausa Sentiment Analysis 2.0 (in local language) 

                                  • Classify the sentiment of sentences of Hausa Language.
                                  • Hosts: Nuruddeen Sambo, Dattijo Murtala Makama / TFUG Bauchi

                                    Navigating ML Olympiad

                                    You can search “ML Olympiad” on Kaggle Community Competitions page to see them all. And for further info, look for #MLOlympiad on social media.

                                    Google Developers supports the hosts of each competition. Browse through the available competitions and participate in those that interest you!

                                    Meet our newest Accelerator: Climate Change cohort

                                    Posted by Matt Ridenour, Head of Startup Developer Ecosystem - USA

                                    Scaling high potential startups aimed at tackling climate change can have an immensely positive impact for our planet.

                                    In line with Google’s broader commitment to address climate change, we are proud to announce the third cohort for our Google for Startups Accelerator: Climate Change program. This 10-week digital accelerator brings the best of Google’s people, products and programming to help take early-stage North American climate tech startups to the next level.

                                    Meet the 12 exceptional startups using cloud technology, artificial intelligence, machine learning and more for a healthier planet.

                                    Agrology, Alexandria, VA

                                    Agrology's predictive agriculture platform helps farmers grow with confidence and beat climate change through data, insights and soil monitoring at scale.

                                    BattGenie, Seattle, WA

                                    BattGenie provides Li-ion battery management software and solutions, enabling safe, fast charging while improving battery life cycle.

                                    Bodhi, Austin, TX

                                    Bodhi empowers solar companies to deliver amazing customer experiences, automating communications so installers can focus on increasing renewable energy access.

                                    Cambio, San Francisco, CA

                                    Cambio is software that helps commercial real estate companies and their corporate tenants decarbonize their buildings.

                                    Cleartrace, Austin, TX

                                    Cleartrace is disrupting legacy reporting with a new standard for how energy and decarbonization information is collected, stored, accessed and transacted.

                                    ElectricFish, Fremont, CA

                                    ElectricFish builds and deploys resilient, flexible EV infrastructure to accelerate decarbonization and support community climate adaptation.

                                    Enersion, Toronto, ON

                                    Enersion offers zero-emission solar trigeneration energy that converts solar radiation into refrigerant-free cooling, heating and electricity.

                                    Eugenie AI, Cupertino, CA

                                    Eugenie is an AI intelligence platform for asset-heavy manufacturers to track, trace, and reduce emissions while improving operations.

                                    Finch, Denver, CO

                                    Finch is a platform that decodes products' environmental footprints to help consumers and shares insights with businesses.

                                    Refiberd, Cupertino, CA

                                    Refiberd is tackling the 186 billion pound global textile waste problem with the first AI-empowered circular textile sorting and reclamation system.

                                    Sesame Solar, Jackson, MI

                                    Sesame Solar is decarbonizing disaster response with rapidly deployable mobile Nanogrids with essential services, providing continuous power from 100% renewable energy.

                                    Voltpost, New York City, NY

                                    Voltpost decarbonizes mobility and democratizes charging access by retrofitting lamp posts into modular electric vehicle charging stations.

                                    These companies will join the other 22 startups from across North America who have participated in the accelerator (see program alumni).

                                    In addition to mentorship and technical project support, the 10-week program will focus on product design, customer acquisition, and leadership development, granting startups access to an expansive network of mentors, senior executives, and industry leaders. All Google for Startups Accelerators are equity-free, so selected companies don’t have to offer anything to participate.

                                    We are honored to partner with this cohort of companies through this accelerator and beyond, to advance their technologies and protect our planet.

                                    The program kicks off on Tuesday, March 7 and concludes with a virtual Demo Day on May 11. Stay tuned and join us in celebrating these exceptional startups.

                                    Developer Journey: February 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.

                                    This month, it’s our pleasure to feature three members spanning communities, including Women Techmakers, Google Developer Experts and Google Developer Groups. Enjoy reading through their entries below and be on the lookout on social media platforms, where we will also showcase their work.

                                    Deepa Subramanian

                                    Headshot of Deepa Subramanian smiling

                                    Google Developer Group, Women Techmakers
                                    Road to GDS Candidate, Web Technologies
                                    Freelance Software Engineer
                                    Find me on: LinkedIn


                                    What Google tools have you used to build?

                                    I am a frontend engineer, having used Angular framework for building single page applications, and using Chrome dev tools, like Puppeteer, Lighthouse, and more. I have also built progressive web app projects using project Fugu API’s to add to homescreen, badging, file share API etc. I am excited to see more API’s in the future.

                                    Which tool has been your favorite to use? Why?

                                    I enjoy using Firebase for authentication and realtime database as it makes my life easier as a frontend engineer.

                                    Please share with us about something you’ve built in the past using Google tools.

                                    In the past, I have built small applications using Android and Java. My first Google tool that I used was Android studio where I built small Android applications using Java (this was back in 2017). Then, I moved to the web. Currently, I am also using the Flutter web platform.

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

                                    If you are a beginner, start building small projects. You will need to be consistently learning. I would urge everyone to join a developer community like GDG. It helps you grow and network with other developers.

                                    Burcu Geneci

                                    Headshot of Burcu Geneci smiling

                                    Former Women Techmakers Ambassador
                                    Co-Founder & CTO at Monday Hero, Inc.
                                    San Francisco, CA
                                    Find me on: LinkedIn, Instagram, Twitter


                                    What Google tools have you used to build?

                                    As a CTO and technical founder, I’ve used various Google Cloud services, including Cloud Run, Cloud Build, Cloud Storage, Google Maps Geocoding API, Kubernetes Engine, and Secret Manager.

                                    At my startup Monday Hero, we’re building a solution that converts Figma design to code and generates Flutter widgets from design. I’m using Google tools related to Flutter almost every day. Dartpad.dev is always open and pinned on my browser. I find Flutter docs very clear and concise.

                                    I also usually explore other Google tools in personal projects. For example, I’ve used ML Kit and Firebase for one of my hobby projects to recognize texts in images.

                                    Which tool has been your favorite to use? Why?

                                    My favorite tool so far is Google's open-source framework Flutter. It's very straightforward to create mobile, web, and desktop applications from a single codebase. The coolest part of Flutter is that applications written on Flutter are natively compiled. Creating natively working applications is very important for user experience. Before using Flutter, I built applications for both iOS and Android natively, but being able to build a mobile application for both platforms at least 30% faster is a game changer. Flutter is a life-saver for startups that want to create mobile solutions.

                                    Considering new technologies like Flutter, the community around that specific technology is essential to adopting and improving the technology with honest feedback. I think the huge and welcoming community was one of the most important reasons to adopt and start using Flutter for my new projects. I want to thank the community builder and program managers for building the Flutter community worldwide.

                                    Please share with us about something you’ve built in the past using Google tools.

                                    After learning about ML Kit capabilities at Google IO 2018, I implemented ML Kit’s Text Recognition API on one of my iOS applications. It was surprisingly easy to build the solution, and the confidence rate was very high. Later that day, I also wrote a blog post for the Google Developer Community about the project and how smooth the integration was.

                                    Knowing how to use technology to build creative solutions and what is possible with this kind of tech is a powerful skill. In the startup's early days, my cofounder and I attended a hackathon, and we won first place with the project in which we used ML Kit and Firebase. One of the project's key features was detecting the indicator number on the counter, which is used for utility usage via ML Kit's text recognition and alerting the user when there is water leakage.

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

                                    Improve analytical and problem-solving skills early in your developer journey, and continuously invest in these skills!

                                    A good developer should be able to identify and solve problems. Problem-solving is about using logic and imagination to analyze a situation and then develop smart solutions to that problem. Follow the tech leaders and influencers in your area of interest and learn something new every day!

                                    Katerina Skroumpelou

                                    Headshot of Katerina Skroumpelou smiling

                                    Google Developer Expert, Angular, Web Technologies, and Google Maps Platform
                                    Senior Software Engineer at Nx
                                    Athens, Greece
                                    Find me on: Twitter


                                    What Google tools have you used to build?

                                    I have used Firebase, Google Cloud Platform, Google Cloud Functions, Google Maps Platform, Angular, Google Cloud Run.

                                    As part of my previous job, our whole infrastructure was built in Firebase, using Cloud Firestore, and Google Cloud Functions used for microservices and also for custom Firestore queries. We also used a combination of Google Cloud Run and Cloud Storage for scheduled backups. In a previous position, I used the Google Maps JS API, which now has evolved into so much more as part of the Google Maps Platform. Today, I build demos and POCs mostly in my free time, using the Google Maps Platform which I love so much. My current role does not involve Google tools at the moment.

                                    Which tool has been your favorite to use? Why?

                                    My favorite tool by far is Firebase. I love the robustness and reliability that it offers in developing and publishing a web application. It offers a solution for every part of the process, be it the backend, storage, database, microservices, hosting, authentication, even analytics. All in one place, easy to use and implement. What is also amazing with Firebase is the scalability that it offers. I would opt to use Firebase whether it is a small demo app I am building for a conference, or a large scale application which involves a huge user base, data, and hits per second.

                                    My second favorite tool is, of course, the Google Maps Platform. Maps excite me, and the Google Maps Platform offers much more than visualizing data on a map - which it does in an amazing way. It has become almost a game engine, in a way, providing access to so many different APIs and features of the map itself for the user to tweak.

                                    Please share with us about something you’ve built in the past using Google tools.

                                    I have used Firebase and the Google Cloud Platform to build and ship applications. A few years ago, a couple of friends and myself had an idea that we turned into a product, which we built and scaled solely using the Google Cloud Platform, and specifically the following features: Cloud Firestore, Cloud Storage, Cloud Run, Cloud Functions, BigQuery, Maps Platform, Authentication. That’s all you really need to build any app today.

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

                                    Be social: Connect with other people by going to on-site conferences. And always be kind.

                                    Continue skill-building: Build small apps and demos to test out different things, and see how they work. Don’t worry about learning all technologies, and don’t “marry” one technology, either. Get a solid foundation of the basics (JavaScript/TypeScript), and then, at your new job, you will learn the technologies they are using there.

                                    Finally, don’t get discouraged by bad days! If you love what you do, you’ll get there in the end, no matter what!

                                    Road to Google Developers Certification: Google Cloud expert shares insight

                                    Posted by Komal Sandhu - Global Program Manager, Google Developer Groups

                                    Get insight into Google Cloud certifications and the Road to Google Developers Certification - Google Cloud program from Google Cloud engineer, and Google Developers Group organizer, Sebastián Moreno.


                                    Among the many inspiring experts in the Cloud developer community is Sebastián Moreno, a Google Cloud engineer and Google Developers Group(GDG) organizer for GDG Cloud Santiago Chile. He helped organize a Road to Google Developers Certification - Google Cloud event, which had over 5000 participants. His expertise expands further while having 7 Google Cloud certificates. Read on to see Sebastián share his outlook on Google Cloud and helping developers prepare for Google Cloud Certifications.

                                    FYI: Road to Google Developers Certification - Google Cloud is a set of community-run events, hosted by Google Developer Groups, for developers who want to prepare for Google Cloud certifications.

                                    • Instructor led workshops
                                    • Support from experts and other fellow developers
                                    • Access to Cloud Skills Boost
                                    • Additional learning material on certification content and exam questions.

                                    This program will be available until June 31, 2022.


                                    Tell us about yourself:

                                    “My name is Sebastián Moreno, I am a Cloud Partner Engineer at Google. I’m a Google Developers Group organizer, former Google Developer Expert, and holder of 7 Google Cloud certificates. Also before joining Google I participated in multiple Google Cloud projects related to infrastructure modernization, data management and application modernization. I also wrote a book to prepare for the Professional Cloud Developer exam.”

                                    What is your origin story? How did you get started in Google Cloud?

                                    “I started my career as a developer in a Startup. In that Startup I learnt a lot of things related to frontend, backend, databases and mobile app development but at this time i didn’t know anything about cloud. “

                                    After that I continue my career as a Technical Lead in a Global System Integrator where I started using some cloud providers.

                                    I started learning Google Cloud when a challenge was offered by my company using Coursera and Qwiklabs. After getting Google Cloud certified I started helping my peers to prepare for the certification exams.

                                    I wanted to share my experience and knowledge so I created the first cloud community in my country called GDG Cloud Santiago.

                                    I joined Google in 2021 and started to help other Googlers to prepare for their certification exams.

                                    Right now I’m an active collaborator with GDG Cloud Santiago de Chile, Google C2C community and I have a Youtube channel with more than 3.000 subscribers where I create content about Google Cloud.”

                                    Why Google Cloud?

                                    Google Cloud is a leader when we talk about Networking, Data and AI. Google Cloud also has an amazing UX and a very good documentation portal. They also have modular solutions that work like a LEGO, so you can select multiple products and services to create your own solution.”

                                    How has Google Cloud certificates helped you in your journey?

                                    “Google Cloud certifications helped me validate my knowledge in the beginning of my journey. It helped me to understand which topics I should cover to start a role in Cloud and learn the best practices to deliver Cloud solutions. These certificates helped me understand real life applications, which is the most important.”

                                    Can anyone take these certifications?

                                    “In my opinion, everyone can take these certifications, but there are some recommendations for people that are starting their Cloud journey. I recommend starting with the Associate Cloud Engineer certification for people related to tech roles and the Cloud Digital leader for people related to sales roles. Then you can try the Professional Certifications focused on more specialized topics like Security, Networking, Machine Learning, etc. It just takes discipline and time to complete. That's all. ”

                                    What's one( or however many) best practices that developers should know when preparing for a Google Cloud certification?

                                    “ In my opinion they need to have the discipline to work through learning material consistently everyday. You learn easier by giving enough space and time to absorb the material.

                                    But also learning with peers and getting help from experts. That's why the Road to Google Developers Certification - Google Cloud program was perfect for our community. Developers could help each other out and work together. Plus they had resources to learn materials like Cloud Skills Boost and a schedule they could just follow.”

                                    Past experience with Road to Google Developers Certification - Google Cloud program:

                                    “In 2022 we ran several Road to Google Developers Certification - Google Cloud events with more than 5000 participants. This year we already have more than 1000 participants and this is just the beginning.”

                                    From your perspective what are the benefits of running a Road to Google Developers Certification - Google Cloud program for your community?

                                    “The possibility to get access to the Cloud Skill Boost platform is one of the most important benefits for the participants. Cloud Skills Boost has amazing content that is both practical and useful for learning.”


                                    Find a Google Developer Group(GDG) hosting a Road to Google Developers Certification - Google Cloud event near you.

                                    Interested in preparing for a Google Cloud certificate with a GDG community. Find a GDG hosting a Road to Google Developers Certification - Google Cloud near you here.

                                    #WeArePlay | Meet Valentin from Austria. More stories from Spain, Argentina and Azerbaijan

                                    Posted by Leticia Lago, Developer Marketing

                                    In our first batch of #WeArePlay stories for 2023, discover the inspiring app founders sharing their knowledge with millions around the world: from cooking up the best recipes, learning better ways to stay healthy, finding the best spots for photography or sharing tips to nail that next exam.

                                    First, we begin with Valentin from Austria. With hotelier and restaurateur parents, Valentin grew up learning about the challenges of the hospitality sector. As he was a better programmer than a cook, he decided to not join the industry. But at 22 - whilst successfully working abroad - he felt his life was lacking purpose. Valentin went back to his hometown and, after hearing his parents had troubles with hiring, created a hospitality recruitment app with co-founders Tobias and Juan. When Covid hit however, Gronda transformed into a platform for chefs to share and monetize their recipes, inspiring other culinary lovers. Next, Gronda wants to help ambitious chefs worldwide unleash their full potential.
                                          

                                    Next, a few more stories from around the world:

                                    • Clara runs a longevity clinic in rural Valencia where people learn to live a longer, healthier life. It’s powerful knowledge and she knew it could go far beyond her little village, so with husband Juan and his university friend David, they created their company Hearts Radiant. Their app, Rosita, gives seniors long term physical and mental health plans, some spanning ten years or more.

                                    #WeArePlay Juan Clara & David Rosita Longevity Cofrentes, Spain Google Play

                                    • When Noel from Argentina was traveling the world, he discovered he’d missed a beautiful viewing point in Italy. This gave him the idea for NoFilter - an app compiling the best photography spots around the world. Next, Noel wants to launch more features for customized trip planning and offer travelers options to go carbon neutral.

                                        #WeArePlay Noel Broda Noel Cordoba, Argentina Google Play

                                      • After a series of hackathons and coding all-nighters, top students Amiraslan and Orkhan launched Oxuyan (“scholar” in Azerbaijani), a platform for publishing exams and testing knowledge. Education had been a ticket to so much opportunity for Amiraslan, including studying abroad and traveling Europe, so his motivation was to make learning accessible to everyone.


                                      #WeArePlay Amiraslan & Orkhan Oxuyan Baku, Azerbaijan Google Play

                                      Check out all the stories now at g.co/play/weareplay and stay tuned for even more coming soon.


                                      How useful did you find this blog post?

                                      Enable fast pass development with Google Wallet demo mode

                                      Posted by Google Pay Developers team

                                      What is demo mode?

                                      We want to make it easier for you to develop and test Google Wallet passes so that you can create new, engaging experiences for your customers. Today, you can sign up in the Google Pay & Wallet Console and start using the Google Wallet API immediately in “demo mode.”

                                      When you sign up for a Google Wallet Issuer account for the first time, your account will be in demo mode. Demo mode includes the same features and functionality as publishing mode. However, access to issue Google Wallet passes to users is restricted to any “test users” you add in the console. While in demo mode, any user who is not included in your list of test users will not be able to add a pass you create to their Google Wallet app. By default, all administrators and developers who have access to your Issuer account are already test users. The passes created by issuers in demo mode will contain the text “[TEST ONLY]” in the top of the pass until the issuer is approved to be in publishing mode.

                                      While in demo mode, you can do any of the following:

                                      When you are in the Google Pay & Wallet Console, you will see two different indicators that your Issuer account is in demo mode.

                                      On the Dashboard page, the Google Wallet API integration card will include a Demo mode tag.
                                      Google Wallet API integration card on the console dashboard
                                      Figure 1 - The Google Wallet API integration card on the console dashboard

                                      On the Google Wallet API page, on the Manage tab, you will see a larger notice stating “You’re in demo mode,” along with additional information and a link to learn more.
                                      The demo mode notice on the Google Wallet API console page
                                      Figure 2 - The demo mode notice on the Google Wallet API console page

                                      How can developers use the Google Wallet API?

                                      It’s simple! Just follow the below steps and you’ll have access to your issuer account in demo.

                                      1. Create a business in the Google Pay & Wallet Console
                                      2. Select Google Wallet API
                                      3. Select Build your first pass
                                      4. Agree to the Google Wallet API Terms of Service

                                      Some additional steps differ depending on whether you use the Android SDK or Web API. Please refer to the Google Wallet Developer Documentation for these other steps. After you’ve completed the steps, you’ll be ready to create your own classes and issue passes to your test users.

                                      How does demo mode affect new and existing accounts?

                                      If you have an existing account and have requested publishing access by submitting a support request, no changes are required on your end. Your Issuer account is already in publishing mode and this will be reflected in the console.

                                      For new accounts, this will depend on two factors:

                                      • The user or service account is associated with an existing Issuer account
                                      • The new account is being created using the issuer.insert method or the Google Pay & Wallet Console

                                      No existing account

                                      Existing account
                                      (demo mode)
                                      Existing account
                                      (publishing mode)
                                      ConsoleDemo mode

                                      Demo modePublishing mode

                                      issuer.insert

                                      Request fails*

                                      Request fails*

                                      Publishing mode

                                      *Note - Issuer accounts in demo mode are unable to create additional accounts using the issuer.insert method.

                                      How are test users managed?

                                      To add and/or remove test users without granting them access to your Issuer account, follow the below steps:

                                      1. Navigate to the Google Pay & Wallet Console
                                      2. Select Google Wallet API
                                      3. In the Manage tab, select Set up test accounts
                                      4. Add each test user’s Google Account email address on a separate line
                                      Select Update testers
                                      The test accounts window
                                      Figure 3 - The test accounts window where you can add test users

                                      How do developers go to publishing mode?

                                      When you’re ready to go to start issuing passes to real users, you will need to complete the following before you are able to request publishing access:

                                      • Create at least one pass class
                                      • Complete your business profile
                                      Once complete, you can submit the publishing access request form. A Google contact will reach out to you requesting screenshots of the pass classes and objects you are creating to ensure they adhere to our brand guidelines and acceptable use policy. This can take up to two business days to process. You will be notified by email when your request is approved, and your Issuer account will be converted to publishing mode. The status of your pass classes will not change, and any pass classes that are in APPROVED state will be available for issuing pass objects to users.

                                      Next steps

                                      Try creating a Generic pass class and object by following the Web or Android codelabs! In these codelabs, you will have the option to create a new Issuer account and try out demo mode. Follow @GooglePayDevs on Twitter for future updates. If you have questions, tag @GooglePayDevs and include #AskGooglePayDevs in your tweets.

                                      Interview with Top Kotlin Contributors – Highlighting their Contributions to the Google Dev Library

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

                                      In May 2017, Google recognized the potential of Kotlin in the mobile developer community and made it an official language for Android development. As a result, talented developers in the Kotlin community used this robust programming language to build inspiring tools and open-source projects. This can be seen in the Google Dev Library, where developers have contributed extensively.

                                      This article will showcase some of our Kotlin Google Developer Experts (GDEs) who have made significant contributions to the Google Dev Library. We hope these projects will inspire and guide your development efforts.
                                       

                                      Contributors in Spotlight :


                                      Nicola Corti

                                      Nicola contributed Detekt to Google Dev Library, which is a static code analysis tool for Kotlin projects that helps developers detect and report on issues related to security, style, and best practices. It can be used to identify potential vulnerabilities, enforce coding standards, and improve code quality.

                                      How did you get started in Kotlin? Is there any particular project that inspired you?

                                      I began working with Kotlin in its early days of 2015. Though the experience was rocky, the ability to code Android apps in Kotlin rather than Java was a game-changer. At the time, it was challenging to convince my colleagues to switch due to the Java-dominant community. However, the official announcement of Kotlin support at Google I/O 2017 was a defining moment for the language. I am grateful for the ongoing support and development of such a powerful and versatile language, as well as the dedicated community that supports it daily.

                                      I am grateful for the ongoing support and development of such a powerful and versatile language, and the dedicated community that supports it daily. Nicola Corti, GDE Kotlin 

                                      What inspired you to inherit the Detekt project ?

                                      Detekt, a static code analyzer tool, is not a creation of mine, but rather a project that I inherited from a friend who sought support in managing it. I have always been impressed by the capabilities of static code analyzers, particularly in terms of their ability to detect bugs and save developer time. At the time, the market for Kotlin static analyzers was relatively new, making Detekt a valuable addition to the toolkits of many Kotlin developers.

                                      As a Kotlin GDE, what is the one piece of advice for someone who has just started as a Kotlin developer?

                                      I highly recommend getting involved in the open-source community. My contributions to open-source projects have taught me invaluable skills and knowledge that I wouldn't have gained otherwise. Additionally, I have had the opportunity to connect with incredible contributors who have since become friends. Participating in open-source not only benefits yourself, but also the wider developer community.

                                      John O'Reilly

                                      John created the PeopleInSpace project, and shared it with Google Dev Library. The project utilizes the OpenNotify API to display information about people currently in space, such as their names, nationalities, and spacecraft. The focus of the project is more about demonstrating use of Kotlin Multiplatform.

                                      How did you get started in Kotlin? Is there any particular project that inspired you?
                                      In 2010, I began my career as an Android developer, utilizing Java as my primary programming language. As a Java backend developer for the previous decade, the transition was relatively seamless. However, it wasn't until the official announcement of Kotlin support at Google I/O 2017, that I fully realized the potential impact of this new programming language. Gradually, as my team and I started migrating to Kotlin, I came to appreciate how productive and expressive a language it was to use.

                                      As my team and I started migrating to Kotlin, I came to appreciate how productive and expressive a language it was to use.  - John O'Reilly, GDE Kotlin

                                      What inspired you to develop and open source the Peopleinspace project?

                                      In 2018, I was introduced to Kotlin Multiplatform (KMP) and was immediately impressed by its practical and efficient approach to code sharing. At the time, there was still a lot of uncertainty and confusion surrounding KMP, and I saw a need for a simple, easy-to-understand sample project that could demonstrate the basics of KMP.

                                      I had an existing open-source project, GalwayBus, which I initially used to experiment with KMP, Jetpack Compose and SwiftUI as they became available. However, this project had a significant amount of legacy code and was not ideal for showcasing the essentials of KMP.

                                      In late 2019, I came across an article by Ken Kousen that included sample code using retrofit to retrieve a list of people in space. I realized that this could be the perfect foundation for the minimal project I had been envisioning. So, I created PeopleInSpace, a project designed to encapsulate the core elements of a KMP project, and provide a clear and concise demonstration of how the various components work together.

                                      As a Kotlin GDE, what is the one piece of advice for someone who has just started as a Kotlin developer?

                                      Kotlin is a powerful language that offers many advanced features; however, it is possible to be very productive when starting out without needing to use those, in many cases, there are simpler alternatives that can be used, and as you become more familiar with the language, you can gradually explore and implement the more advanced options.

                                      Join the global community of Kotlin developers and share your open source projects or technical blogs on Dev Library. To contribute, submit your content here.

                                      How to learn Kotlin: JetBrains, the company behind the Kotlin language, offers certificate courses and learning tools for developers and has an active user groups forum where developers get support with programming language-related issues.

                                      3 things to expect at the Google for Games Developer Summit

                                      Posted by Greg Hartrell, Product Director, Games on Play/Android

                                      Save the date for this year’s virtual Google for Games Developer Summit, happening on March 14 at 9 a.m. PT. You’ll hear about product updates and discover new ways to build great games, connect with players around the globe and grow your business.

                                      Here are three things you can expect during and after the event:

                                      1. Hear about Google’s newest games products for developers

                                      The summit kicks off at 9 a.m. PT, with keynotes from teams across Android, Google Play, Ads and Cloud. They’ll discuss the latest trends in the gaming industry and share new products we’re working on to help developers build great experiences for gamers everywhere.

                                      2. Learn how to grow your games business in on-demand sessions

                                      Following the keynotes, more than 15 on-demand sessions will be available starting at 10 a.m. PT, where you can learn more about upcoming products, watch technical deep dives and hear inspiring stories from other game developers. Whether you’re looking to expand your reach, reduce cheating or better understand in-game ad formats, there will be plenty of content to help you take your game to the next level.

                                      3. Join us at the Game Developers Conference

                                      If you’re looking for even more gaming content after the summit, join us in person for the Game Developers Conference in San Francisco. We’ll host developer sessions on March 20 and 21 to share demos, technical best practices and more.

                                      Visit g.co/gamedevsummit to learn more and get updates about both events, including the full agendas. See you there!

                                      Machine Learning Communities: Q4 ‘22 highlights and achievements

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

                                      Let’s explore highlights and accomplishments of vast Google Machine Learning communities over the last quarter of 2022. We are enthusiastic and grateful about all the activities by the global network of ML communities. Here are the highlights!


                                      ML at DevFest 2022

                                      A group of ML Developers attending DevFest 2022

                                      A large number of members of ML GDE, TFUG, and 3P ML communities participated in DevFests 2022 worldwide covering various ML topics with Google products. Machine Learning with Jax: Zero to Hero (DevFest Conakry) by ML GDE Yannick Serge Obam Akou (Cameroon) and Easy ML on Google Cloud (DevFest Med) by ML GDE Nathaly Alarcon Torrico (Bolivia) hosted great sessions.

                                      ML Community Summit 2022

                                      A group of ML Developers attending ML Community Summit

                                      ML Community Summit 2022 was hosted on Oct 22-23, 2022, in Bangkok, Thailand. Twenty-five most active community members (ML GDE or TFUG organizer) were invited and shared their past activities and thoughts on Google’s ML products. A video sketch from ML Developer Programs team and a blog posting by ML GDE Margaret Maynard-Reid (United States) help us revisit the moments.

                                      TensorFlow

                                      MAXIM in TensorFlow by ML GDE Sayak Paul (India) shows his implementation of the MAXIM family of models in TensorFlow.

                                      Diagram of gMLP block

                                      gMLP: What it is and how to use it in practice with Tensorflow and Keras? by ML GDE Radostin Cholakov (Bulgaria) demonstrates the state-of-the-art results on NLP and computer vision tasks using a lot less trainable parameters than corresponding Transformer models. He also wrote Differentiable discrete sampling in TensorFlow.

                                      Building Computer Vision Model using TensorFlow: Part 2 by TFUG Pune for the developers who want to deep dive into training an object detection model on Google Colab, inspecting the TF Lite model, and deploying the model on an Android application. ML GDE Nitin Tiwari (India) covered detailed aspects for end-to-end training and deployment of object model detection.

                                      Advent of Code 2022 in pure TensorFlow (days 1-5) by ML GDE Paolo Galeone (Italy) solving the Advent of Code (AoC) puzzles using only TensorFlow. The articles contain a description of the solutions of the Advent of Code puzzles 1-5, in pure TensorFlow.

                                      tf.keras.metrics / tf.keras.optimizers by TFUG Taipei helped people learn the TF libraries. They shared basic concepts and how to use them using Colab.

                                      Screen shot of TensorFlow Lite on Android Project Practical Course
                                      A hands-on course on TensorFlow Lite projects on Android by ML GDE Xiaoxing Wang (China) is the book mainly introducing the application of TensorFlow Lite in Android development. The content focuses on applying three typical ML applications in Android development.

                                      Build tensorflow-lite-select-tf-ops.aar and tensorflow-lite.aar files with Colab by ML GDE George Soloupis (Greece) guides how you can shrink the final size of your Android application’s .apk by building tensorflow-lite-select-tf-ops.aar and tensorflow-lite.aar files without the need of Docker or personal PC environment.

                                      TensorFlow Lite and MediaPipe Application by ML GDE XuHua Hu (China) explains how to use TFLite to deploy an ML model into an application on devices. He shared experiences with developing a motion sensing game with MediaPipe, and how to solve problems that we may meet usually.

                                      Train and Deploy TensorFlow models in Go by ML GDE Paolo Galeone (Italy) delivered the basics of the TensorFlow Go bindings, the limitations, and how the tfgo library simplifies their usage.

                                      Keras

                                      Diagram of feature maps concatenated together and flattened

                                      Complete Guide on Deep Learning Architectures, Chapter 1 on ConvNets by ML GDE Merve Noyan (France) brings you into the theory of ConvNets and shows how it works with Keras.

                                      Hazy Image Restoration Using Keras by ML GDE Soumik Rakshit (India) provides an introduction to building an image restoration model using TensorFlow, Keras, and Weights & Biases. He also shared an article Improving Generative Images with Instructions: Prompt-to-Prompt Image Editing with Cross Attention Control.

                                      Mixed precision in Keras based Stable Diffusion
                                      Let’s Generate Images with Keras based Stable Diffusion by ML GDE Chansung Park (Korea) delivered how to generate images with given text and what stable diffusion is. He also talked about Keras-based stable diffusion, basic building blocks, and the advantages of using Keras-based stable diffusion.

                                      A Deep Dive into Transformers with TensorFlow and Keras: Part 1, Part 2, Part3 by ML GDE Aritra Roy Gosthipaty (India) covered the journey from the intuition of attention to formulating the multi-head self-attention. And TensorFlow port of GroupViT in 🤗 transformers library was his contribution to Hugging Face transformers library.

                                      TFX

                                      Digits + TFX banner

                                      How startups can benefit from TFX by ML GDE Hannes Hapke (United States) explains how the San Francisco-based FinTech startup Digits has benefitted from applying TFX early, how TFX helps Digits grow, and how other startups can benefit from TFX too.

                                      Usha Rengaraju (India) shared TensorFlow Extended (TFX) Tutorials (Part 1, Part 2, Part 3) and the following TF projects: TensorFlow Decision Forests Tutorial and FT Transformer TensorFlow Implementation.

                                      Hyperparameter Tuning and ML Pipeline by ML GDE Chansung Park (Korea) explained hyperparam tuning, why it is important; Introduction to KerasTuner, basic usage; how to visualize hyperparam tuning results with TensorBoard; and integration within ML pipeline with TFX.

                                      JAX/Flax

                                      JAX High-performance ML Research by TFUG Taipei and ML GDE Jerry Wu (Taiwan) introduced JAX and how to start using JAX to solve machine learning problems.

                                      [TensorFlow + TPU] GatedTabTransformer[W&B] and its JAX/Flax counterpart GatedTabTransformer-FLAX[W&B] by Usha Rengaraju (India) are tutorial series containing the implementation of GatedTabTransformer paper in both TensorFlow (TPU) and FLAX.

                                      Putting NeRF on a diet: Semantically consistent Few-Shot View Synthesis Implementation
                                      JAX implementation of Diet NeRf by ML GDE Wan Hong Lau (Singapore) implemented the paper “Putting NeRF on a Diet (DietNeRF)” in JAX/Flax. And he also implemented a JAX-and-Flax training pipeline with the ResNet model in his Kaggle notebook, 🐳HappyWhale🔥Flax/JAX⚡TPU&GPU - ResNet Baseline.

                                      Introduction to JAX with Flax (slides) by ML GDE Phillip Lippe (Netherlands) reviewed from the basics of the requirements we have on a DL framework to what JAX has to offer. Further, he focused on the powerful function-oriented view JAX offers and how Flax allows you to use them in training neural networks.

                                      Screen grab of ML GDE David Cardozo and Cristian Garcia during a live coding session of a review of new features, specifically Shared Arrays, in the recent release of JAX
                                      JAX Streams: Exploring JAX 0.4 by ML GDE David Cardozo (Canada) and Cristian Garcia (Colombia) showed a review of new features (specifically Shared Arrays) in the recent release of JAX and demonstrated live coding.

                                      [LiveCoding] Train ResNet/MNIST with JAX/Flax by ML GDE Qinghua Duan (China) demonstrated how to train ResNet using JAX by writing code online.

                                      Kaggle

                                      Low-light Image Enhancement using MirNetv2 by ML GDE Soumik Rakshit (India) demonstrated the task of Low-light Image Enhancement.

                                      Heart disease Prediction and Diabetes Prediction Competition hosted by TFUG Chandigarh were to familiarize participants with ML problems and find solutions using classification techniques.

                                      TensorFlow User Group Bangalore Sentiment Analysis Kaggle Competition 1
                                      TFUG Bangalore Kaggle Competition - Sentiment Analysis hosted by TFUG Bangalore was to find the best sentiment analysis algorithm. Participants were given a set of training data and asked to submit an ML/DL algorithm that could predict the sentiment of a text. The group also hosted Kaggle Challenge Finale + Vertex AI Session to support the participants and guide them in learning how to use Vertex AI in a workflow.

                                      Cloud AI

                                      Better Hardware Provisioning for ML Experiments on GCP by ML GDE Sayak Paul (India) discussed the pain points of provisioning hardware (especially for ML experiments) and how we can get better provision hardware with code using Vertex AI Workbench instances and Terraform.

                                      Jayesh Sharma, Platform Engineer, Zen ML; MLOps workshop with TensorFlow and Vertex AI November 12, 2022|TensorFlow User Group Chennai
                                      MLOps workshop with TensorFlow and Vertex AI by TFUG Chennai targeted beginners and intermediate-level practitioners to give hands-on experience on the E2E MLOps pipeline with GCP. In the workshop, they shared the various stages of an ML pipeline, the top tools to build a solution, and how to design a workflow using an open-source framework like ZenML.

                                      10 Predictions on the Future of Cloud Computing by 2025: Insights from Google Next Conference by ML GDE Victor Dibia (United States) includes a recap of his notes reflecting on the top 10 cloud technology predictions discussed at the Google Cloud Next 2022 keynote.
                                      Workflow of Google Virtual Career Center
                                      O uso do Vertex AI Matching Engine no Virtual Career Center (VCC) do Google Cloud by ML GDE Rubens Zimbres (Brazil) approaches the use of Vertex AI Matching Engine as part of the Google Cloud Virtual Career Center solution.

                                      More practical time-series model with BQML by ML GDE JeongMin Kwon (Korea) introduced BQML and time-series modeling and showed some practical applications with BQML ARIMA+ and Python implementations.

                                      Vertex AI Forecast - Demand Forecasting with AutoML by ML GDE Rio Kurihara (Japan) presented a time series forecast overview, time series fusion transformers, and the benefits and desired features of AutoML.

                                      Research & Ecosystem

                                      AI in Healthcare by ML GDE Sara EL-ATEIF (Morocco) introduced AI applications in healthcare and the challenges facing AI in its adoption into the health system.

                                      Women in AI APAC finished their journey at ML Paper Reading Club. During 10 weeks, participants gained knowledge on outstanding machine learning research, learned the latest techniques, and understood the notion of “ML research” among ML engineers. See their session here.

                                      A Natural Language Understanding Model LaMDA for Dialogue Applications by ML GDE Jerry Wu (Taiwan) introduced the natural language understanding (NLU) concept and shared the operation mode of LaMDA, model fine-tuning, and measurement indicators.

                                      Python library for Arabic NLP preprocessing (Ruqia) by ML GDE Ruqiya Bin (Saudi Arabia) is her first python library to serve Arabic NLP.

                                      Screengrab of ML GDEs Margaret Maynard-Reid and Akash Nain during Chat with ML GDE Akash
                                      Chat with ML GDE Vikram & Chat with ML GDE Aakash by ML GDE Margaret Maynard-Reid (United States) shared the stories of ML GDEs’ including how they became ML GDE and how they proceeded with their ML projects.

                                      Anatomy of Capstone ML Projects 🫀by ML GDE Sayak Paul (India) discussed working on capstone ML projects that will stay with you throughout your career. He covered various topics ranging from problem selection to tightening up the technical gotchas to presentation. And in Improving as an ML Practitioner he shared his learning from experience in the field working on several aspects.

                                      Screen grab of  statement of objectives in MLOps Development Environment by ML GDE Vinicius Carida
                                      MLOps Development Environment by ML GDE Vinicius Caridá (Brazil) aims to build a full development environment where you can write your own pipelines connecting MLFLow, Airflow, GCP and Streamlit, and build amazing MLOps pipelines to practice your skills.

                                      Transcending Scaling Laws with 0.1% Extra Compute by ML GDE Grigory Sapunov (UK) reviewed a recent Google article on UL2R. And his posting Discovering faster matrix multiplication algorithms with reinforcement learning explained how AlphaTensor works and why it is important.

                                      Back in Person - Prompting, Instructions and the Future of Large Language Models by TFUG Singapore and ML GDE Sam Witteveen (Singapore) and Martin Andrews (Singapore). This event covered recent advances in the field of large language models (LLMs).

                                      ML for Production: The art of MLOps in TensorFlow Ecosystem with GDG Casablanca by TFUG Agadir discussed the motivation behind using MLOps and how it can help organizations automate a lot of pain points in the ML production process. It also covered the tools used in the TensorFlow ecosystem.

                                      Google Dev Library Letter: 17th Edition

                                      Posted by the Dev Library Team

                                      We are highlighting the best projects developed with Google technologies that have been shared on the Google Dev Library platform. We hope this will spark some inspiration for your next project.


                                      Android - Content of the Month



                                      Transformers by Daichi Furiya

                                      See the Android transformation library providing a variety of image transformations for Coil, Glide, Picasso, and Fresco.



                                      Camposer by Lucas Yuji Yoshimine

                                      Learn how the camera library in Jetpack Compose which supports taking photos, recording videos, flash modes, zoom ratio, and more.

                                      Read more on DevLibrary




                                      ChatGPT Android by Jaewoong Eum

                                      Integrate ChatGPT on Android with Stream Chat SDK for Compose.

                                      Read more on DevLibrary




                                      Continue reading