Posted by Robbie McLachlan - Developer Marketing

In our latest #WeArePlay stories, we meet the people using Google AI to drive positive change with their apps and games on Google Play - from diagnosing crop diseases with a single photo to reuniting lost pets with a simple nose print.

Here are a few of our favorites:

Jesse and Ken’s app Petnow uses AI-powered nose print recognition to identify individual dogs and cats, helping to reunite lost pets with their owners. 

Dr. Jesse Joonho Lim, co-founder of Petnow Seoul, South Korea 

Inspired by his lifelong love of dogs, Jesse teamed up with Vision AI expert Ken to create Petnow.  Boosted by Gemini, their app uses nose print recognition to identify individual dogs and cats, helping to reunite lost pets with their owners. Recent AI updates, enhanced by Google Gemini, now let people search by breed, color, and size simply by taking a photo with their device. Next, the team plans to expand globally, aiming to help owners everywhere stay connected with their furry companions.

Simone and Rob's app, Plantix, uses AI to identify crop diseases from photos and suggests remedies.

Simone Strey and Rob Strey, co-founders of Plantix Berlin, Germany 

While testing soil in the Amazon, PhD students Simone and Rob were asked by farmers for help diagnosing crop diseases. The couple quickly realized that local names for plant illnesses didn’t match research terms, making solutions hard to find. So they created Plantix, an AI app that uses Google Vision Transformer (ViT), identifying crop problems from photos and suggests remedies in multiple languages.Their mission continues to grow; now based in India, they are building a new startup to help farmers source eco-friendly products. With global expansion in mind, the team aims to add a speech-based assistant to give farmers real-time, personalized advice.

Gabriel  and Isaac’s game, Afrilearn uses AI powered by Google Cloud to make education fun and accessible for children across West Africa.

Gabriel Olatunji-Legend and Isaac Oladipupo, co-founders of Afrilearn Lagos, Nigeria 

Inspired by their own upbringing in Lagos, friends Gabriel and Isaac believe every child deserves a chance to succeed through education. They built Afrilearn, a gamified learning app that uses animation, storytelling, and AI to make lessons aligned with local curriculums engaging and accessible. Already helping thousands of learners, they are now expanding into school management tools to continue their mission of unlocking every child's potential.

Discover other inspiring app and game founders featured in #WeArePlay.

We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit - supercharging Genkit development experience when using AI assistance.

Using technology to identify and address leaks means less water waste, lower costs for universities, schools and public buildings and a more sustainable future in our da…

Google AI Edge has expanded the Gemma 3n preview to include audio support. Users can play with it on their own mobile phone using the Google AI Edge Gallery, which is now available in Open Beta on Play Store.

A2A Extensions provide a flexible way to add custom functionalities to agent-to-agent communication, going beyond the core A2A protocol. They enable specialized features and are openly defined and implemented.

 Hi, everyone! We've just released Chrome 140 (140.0.7339.123) for Android. It'll become available on Google Play over the next few days. 

This release includes stability and performance improvements. You can see a full list of the changes in the Git log. If you find a new issue, please let us know by filing a bug.

The Stable channel has been updated to 140.0.7339.127/.128 for Windows, 140.0.7339.132/.133 for Mac and 140.0.7339.127 for Linux which will roll out over the coming days/weeks. A full list of changes in this build is available in the Log.

Security Fixes and Rewards

Note: Access to bug details and links may be kept restricted until a majority of users are updated with a fix. We will also retain restrictions if the bug exists in a third party library that other projects similarly depend on, but haven’t yet fixed.

This update includes 2 security fixes. Below, we highlight fixes that were contributed by external researchers. Please see the Chrome Security Page for more information.

[$43000][440454442] Critical CVE-2025-10200: Use after free in Serviceworker. Reported by Looben Yang on 2025-08-22
[$30000][439305148] High CVE-2025-10201: Inappropriate implementation in Mojo. Reported by Sahan Fernando & Anon on 2025-08-18

We would also like to thank all security researchers that worked with us during the development cycle to prevent security bugs from ever reaching the stable channel.

Many of our security bugs are detected using AddressSanitizer, MemorySanitizer, UndefinedBehaviorSanitizer, Control Flow Integrity, libFuzzer, or AFL.

Interested in switching release channels? Find out how here. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.

What’s changing 

Who’s impacted 

Why you’d use it 

Getting started 

Rollout pace 

Availability 

Resources 

Hi everyone! We've just released Chrome Stable 140 (140.0.7339.122) for iOS; it'll become available on App Store in the next few hours.

This release includes stability and performance improvements. You can see a full list of the changes in the Git log. If you find a new issue, please let us know by filing a bug.

Chrome Release Team
Google Chrome

JAX, a framework known for large-scale AI model development, is proving to be a powerful tool in scientific computing, particularly for solving complex Partial Differential Equations (PDEs), now being leveraged by researchers to achieve significant speed-ups and memory reductions in solving high-order PDEs and demonstrating its potential to unlock new frontiers in scientific discovery.