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  • OCT. 8, 2025 / Web

    Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device

    This guide shows you how to fine-tune the Gemma 3 270M model for custom tasks, like an emoji translator. Learn to quantize and convert the model for on-device use, deploying it in a web app with MediaPipe or Transformers.js for a fast, private, and offline-capable user experience.

    OYOAI_Metadata_RD2-V01
  • SEPT. 24, 2025 / Mobile

    On-device GenAI in Chrome, Chromebook Plus, and Pixel Watch with LiteRT-LM

    Google AI Edge provides the tools to run AI features on-device, and its new LiteRT-LM runtime is a significant leap forward for generative AI. LiteRT-LM is an open-source C++ API, cross-platform compatibility, and hardware acceleration designed to efficiently run large language models like Gemma and Gemini Nano across a vast range of hardware. Its key innovation is a flexible, modular architecture that can scale to power complex, multi-task features in Chrome and Chromebook Plus, while also being lean enough for resource-constrained devices like the Pixel Watch. This versatility is already enabling a new wave of on-device generative AI, bringing capabilities like WebAI and smart replies to users.

    Screens-1-banner (1)
  • SEPT. 5, 2025 / Mobile

    Google AI Edge Gallery: Now with audio and on Google Play

    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.

    GoogleAIEdge_Metadatal_RD2-V01
  • JULY 10, 2025 / Cloud

    Advancing agentic AI development with Firebase Studio

    Updates in Firebase Studio include new Agent modes, foundational support for the Model Context Protocol (MCP), and Gemini CLI integration, all designed to redefine AI-assisted development allow developers to create full-stack applications from a single prompt and integrate powerful AI capabilities directly into their workflow.

    Advancing agentic AI development with Firebase Studio
  • JUNE 10, 2025 / Pay

    Google Pay inside sandboxed iframe for PCI DSS v4 compliance

    Use a sandboxed iframe to implement Google Pay on checkout pages, which helps comply with PCI DSS v4 requirements by isolating scripts. Shopify successfully implemented this method and passed the PCI DSS v4 audit.

    Google Pay inside sandboxed iframe for PCI DSS v4 compliance
  • MAY 28, 2025 / Android

    Adding support for Google Pay within Android WebView

    Google Pay support within Android WebView is now available, starting with WebView version 137 and Play Services 25.18.30, allowing users to utilize the native Google Pay payment sheet within embedded web checkout processes.

    Adding support for Google Pay within Android WebView
  • MAY 22, 2025 / Smart Home

    Bringing Gemini intelligence to Google Home APIs

    Gemini intelligence is being integrated into Google Home APIs, offering developers access to over 750 million devices and enabling advanced features like AI-powered camera analysis and automated routines.

    Bringing Gemini Intelligence to Google Home APIs - Google I/O 2025
  • MAY 22, 2025 / Wallet

    Explore the latest updates on Google Wallet

    Google Wallet has expanded globally and introduced new features like digital IDs via a new Digital Credentials API, granular notifications for pass updates, and nearby pass notifications, along with other features like Value Added Opportunities and a Pass Upgrade experience.

    Explore the latest updates on Google Wallet - Google I/O 2025
  • MAY 21, 2025 / Pay

    New Google Pay features to enhance your payment flows

    At Google I/O 2025, new Google Pay API updates were unveiled to enhance checkout experiences with features like Android WebViews integration, a more versatile API, and improved developer tools.

    New Google Pay features to enhance your payment flows
  • MAY 20, 2025 / AI Edge

    On-device small language models with multimodality, RAG, and Function Calling

    Google AI Edge advancements, include new Gemma 3 models, broader model support, and features like on-device RAG and Function Calling to enhance on-device generative AI capabilities.

    Google AI Edge: Small Language Models with Multimodality, RAG, and Function Calling