Have you wondered how artificial intelligence can transform your Android apps? From Gemini Nano and Gemini Flash to MediaPipe and LiteRT, we're taking you through how you can build AI experiences during our #AndroidAI Spotlight Week. Stay tuned this week for more.
Android Developers
Technology, Information and Internet
Mountain View, California 121,408 followers
Modern tools and resources to help you build experiences that people love, faster and easier, across Android devices.
About us
The official Android Developers LinkedIn account from Google. Delivering the latest on Android development tools and resources to help you build experiences that people love, faster and easier, across every Android device.
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https://developer.android.com/
External link for Android Developers
- Industry
- Technology, Information and Internet
- Company size
- 5,001-10,000 employees
- Headquarters
- Mountain View, California
Updates
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Walkthrough Google’s on-device genAI solutions with us — now available for experimentation. #AndroidAI We cover: what is on-device inference, new experimental access of the latest Gemini Nano model, sample apps, MediaPipe, and more. Full video → https://goo.gle/3zEGELO
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Learn how to convert PyTorch models to run locally on Android with Google AI Edge Torch. We’ve provided samples that demonstrate how to convert the MobileViT model for image classification and the DIS model for segmentation. Get started → https://goo.gle/47H5xTv
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Discover how to bring your own AI models to Android devices → https://goo.gle/3Bi8Lkm The Google AI Edge platform can help you build and deploy AI models on edge devices. It supports various frameworks and tools like MediaPipe, LiteRT, MediaPipe Framework, and Model Explorer. Leverage these resources and start exploring the potential of on-device AI—your next big innovation could be just a model away.
How to bring your AI Model to Android devices
android-developers.googleblog.com
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Ready to test out what you've learned about Gemini Nano? Check out our sample app for an easy way to experiment with it! It’s available on Github for you to download and experiment with. → https://goo.gle/3BoC1pM
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Curious about the privacy and safety aspects of on-device AI? Learn how Gemini Nano and AICore safeguard user data and provide a secure genAI processing environment on Android. → https://goo.gle/4eG77aJ
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Gemini Nano is now available for experimentation on Android with the AI Edge SDK via AICore. → https://goo.gle/4gBq6oD This means you can bring the power of Gemini to your apps and build new experiences for Pixel 9 series devices using text-to-text prompts. This experimental access is a great opportunity for developers to explore the possibilities of on-device AI and provide valuable feedback. #AndroidAI
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We're answering your #AndroidAI questions in our Q&A on Friday Oct. 4 at 9AM Pacific. Tune in to hear from our panel of experts on topics like hero use cases for AI powered features on Android, how devs can get started with AI on Android, and more!
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Want to code faster and more efficiently? 🤔 Read about the latest advancements in AI-powered code completion → https://goo.gle/3Bv5RbT We're introducing new AI-powered enhancements to Android Studio that will supercharge your development workflow. With retrieval augmentation, smarter post-processing, and a focus on prioritizing high-quality suggestions, you can make code completion faster and more efficient.
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🤖 Always wanted to know how generative AI models work? Learn more about the models available for Android devs → https://goo.gle/3TFC0Us Android has supported traditional machine learning models for years, but generative AI opens up a whole new world of possibilities for mobile developers. This blog post provides you with an overview of generative AI and large language models (LLMs) and how they differ from traditional machine learning. We'll cover important concepts such as LLMs, embeddings, context windows, and fine-tuning. #AndroidAI