Blog

Imagen 3, our most advanced image generation model, is now available through Vertex AI in Firebase, making it even easier to integrate it to your Android apps. Designed to generate well-composed images with exceptional details, reduced artifacts, and

Blog

Gemini can help you build and launch new user features that will boost engagement and create personalized experiences for your users. The Vertex AI in Firebase SDK lets you access Google’s Gemini Cloud models (like Gemini 1.5 Flash and Gemini 1.5

YouTube

In this episode of Android Build Time, Christopher Cartland is joined by Caren Chang and Jordan de Hoog to discuss Media API insights. Chapters: 0:00 - Introduction 2:24 - Android Media APIs 5:25 - Android Media3 7:38 - Media3 Transformer and

Blog

We're excited to announce Gaze Link as the winner of the Best Android App for our Gemini API Developer Competition! This innovative app demonstrates the potential of the Gemini API in providing a communication system for individuals with Amyotrophic

YouTube

Our next episode of #AndroidBuildTime is here, and this time we're talking about Ultra HDR images! Tune in to hear from the team at Google Drive and the Android platform team about new capabilities in Ultra HDR. Link to podcast →

Blog

With the advent of Generative AI, Android developers now have access to capabilities that were previously out of reach. For instance, you can now easily add image captioning to your app without any computer vision knowledge. With the upcoming launch

Blog

Thousands of developers across the globe are harnessing the power of the Gemini 1.5 Pro and Gemini 1.5 Flash models to infuse advanced generative AI features into their applications. Android developers are no exception, and with the upcoming launch

YouTube

Welcome to Android Build Time! The show where the Android team talks with Android developers about building great apps, so you can listen while building your Android app. In today’s episodes we have Jomin George - CEO Hitbytes Technologies building

Blog

Earlier this year we launched Google AI Edge, a suite of tools with easy access to ready-to-use ML tasks, frameworks that enable you to build ML pipelines, and run popular LLMs and custom models – all on-device. For AI on Android Spotlight Week, the

YouTube

Want to build AI-powered features into your Android apps? The full video explores on-device Generative AI with Gemini Nano, now available for experimental access, and the MediaPipe Tasks LLM Inference API Watch more Android Spotlight Week →

Blog

On-device AI involves deploying and executing machine learning or generative AI models directly on hardware devices, instead of relying on cloud-based servers. This approach offers several advantages, such as reduced latency, enhanced privacy, cost

YouTube

Want to build AI-powered features into your Android apps? This video explores on-device Generative AI with Gemini Nano, now available for experimental access, and the MediaPipe Tasks LLM Inference API. Learn how these technologies enable efficient

Blog

AI can enhance the user experience and productivity of Android apps. If you're looking to build GenAI features that benefit from additional data privacy or offline inference, on-device GenAI is a good choice as it processes prompts directly on your

Blog

Gemini, introduced last year, is Google’s most capable family of models yet; designed for flexibility, it can run on everything from data centers to mobile devices. Since announcing Gemini Nano, our most efficient model built for on-device tasks,

YouTube

During AI on Android Spotlight Week, we'll guide you through integrating generative AI capabilities in your Android apps, including how to use the latest Gemini models and experimenting with custom models. Learn more →

YouTube

During our AI on Android Spotlight Week, we'll explore how to build AI experiences using Gemini Nano, Gemini Flash, MediaPipe, and LiteRT. Get ready to harness the power of AI! Learn more → https://goo.gle/ai-on-android-week Watch more Spotlight

Blog

AI on Android Spotlight Week this year runs September 30th to October 4th! As part of the Android “Spotlight Weeks” series, this week’s content and updates are your gateway to understanding how to integrate cutting-edge AI into your Android apps.

Blog

Android has supported traditional machine learning models for years. Frameworks and SDKs like LiteRT (formerly known as TensorFlow Lite), ML Kit and MediaPipe enabled developers to easily implement tasks like image classification and object

Blog

AI on Android Spotlight Week is our latest installment of the Spotlight Weeks series. We'll have a full week of investigation into the latest advancements in AI for Android developers. We’ll feature a variety of exciting activities, including an AMA

Blog

TalkBack is Android’s screen reader in the Android Accessibility Suite that describes text and images for Android users who have blindness or low vision. The TalkBack team is always working to make Android more accessible. Today, thanks to Gemini

YouTube

In this segment in #TheAndroidShow, we’re taking you behind the scenes with Gemini Nano with multimodality, Google’s latest model for on-device AI. We’re also spotlighting how the Pixel Recorder app team used Gemini Nano to summarize users’

Blog

Google Pixel’s Recorder app allows people to record, transcribe, save, and share audio. To make it easier for users to manage and revisit their recordings, Recorder’s developers turned to Gemini Nano, a powerful on-device large language model (LLM).

Blog

Gemini models are powering new generative AI apps both over the cloud and directly on-device. You can now build with Gen AI using our most capable models over the Cloud with the Google AI client SDK or Vertex AI for Firebase in your Android apps. For

YouTube

Learn about Android on-device gen AI. In this session, we'll examine the different on-device gen AI solutions available on Android and the advantages of on-device inference. We'll also showcase some apps that have adopted on-device gen AI and take a