Google launches revolutionary AI app Edge Gallery, which runs completely offline to protect privacy

Google launches revolutionary AI app Edge Gallery, which runs completely offline to protect privacy


Google recently officially launched the Google AI Edge Gallery app on the Google Play Store. This innovative tool, integrated with the Gemma series of on-device models, allows users to run AI functions directly on their Android devices without an internet connection. Whether developers are testing or ordinary users exploring the potential of AI, the app offers an intuitive interface and rich functional modules, marking a new era in on-device AI technology.

The app's core feature is its fully offline operation, with all AI processing performed locally on the device, ensuring data privacy and fast response times. Users can upload or take photos using image recognition to access intelligent services such as object recognition and scene description. The audio conversation feature supports transcription and translation, making it ideal for meeting notes or multilingual communication. Text interaction offers a multi-turn conversation experience similar to ChatGPT, and also supports practical features such as text summarization and code generation.

Technically, Edge Gallery is powered by Google's latest Gemma3n lightweight multimodal model, employing the innovative Matryoshka Transformer design. This dynamically adjusts model layers based on device performance, conserving power while maintaining efficient inference capabilities. This model supports conversational contexts with 4,000 tokens and over 140 languages, demonstrating exceptional multimodal processing capabilities.

The app is currently available for download directly from the Google Play Store. After installation, users will need to download a model package (approximately 1.5GB) to begin using it. Google also plans to release an iOS version to further expand the app's reach. The launch of this app not only provides a more secure AI solution for privacy-sensitive scenarios but also promotes the widespread adoption and development of on-device AI technology.

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