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  • MAY 28, 2025 / Gemini

    Exploring the Magic Mirror: an interactive experience powered by the Gemini models

    The Magic Mirror project utilizes the Gemini API, including the Live API, Function Calling, and Grounding with Google Search, to create an interactive and dynamic experience, demonstrating the power of the Gemini models to generate visuals, tell stories, and provide real-time information through a familiar object.

    Exploring the Magic Mirror: an interactive experience powered by the Gemini models
  • MAY 23, 2025 / Gemini

    Gemini API I/O updates

    Announcing new features and models for the Gemini API, with the introduction of Gemini 2.5 Flash Preview with improved reasoning and efficiency, Gemini 2.5 Pro and Flash text-to-speech supporting multiple languages and speakers, and Gemini 2.5 Flash native audio dialog for conversational AI.

    Gemini_API_metadata
  • 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 20, 2025 / Gemini

    Fully Reimagined: AI-First Google Colab

    Google Colab is launching a reimagined AI-first version at Google I/O, featuring an agentic collaborator powered by Gemini 2.5 Flash with iterative querying capabilities, an upgraded Data Science Agent, effortless code transformation, and flexible interaction methods, aiming to significantly improve coding workflows.

    Google Colab's reimagined Al-first experience
  • MAY 20, 2025 / Gemini

    Building agents with Google Gemini and open source frameworks

    Google Gemini models offer several advantages when building AI agents, such as advanced reasoning, function calling, multimodality, and large context window capabilities. Open-source frameworks like LangGraph, CrewAI, LlamaIndex, and Composio can be used with Gemini for agent development.

    Building agents with Google Gemini and open source frameworks
  • MAY 20, 2025 / Android

    What you should know from the Google I/O 2025 Developer keynote

    Top announcements from Google I/O 2025 focus on building across Google platforms and innovating with AI models from Google DeepMind, with key focus on new tools, APIs, and features designed to enhance developer productivity and create AI-powered experiences using Gemini, Android, Firebase, and web.

    What you should know from the Google I/O 2025 Developer keynote
  • MAY 20, 2025 / Gemini

    From idea to app: Introducing Stitch, a new way to design UIs

    Stitch, a new Google Labs experiment, uses AI to generate UI designs and frontend code from text prompts and images, aiming to streamline the design and development workflow, offering features like UI generation from natural language or images, rapid iteration, and seamless paste to Figma and front-end code.

    From idea to app: Introducing Stitch, a new way to design UIs
  • MAY 9, 2025 / Cloud

    Google AI for game developers

    Revisit announcements from this year's Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, its application in a sample game, and scaling games with generative AI in Google Cloud.

    Google AI for Game Developers
  • MAY 9, 2025 / DeepMind

    Advancing the frontier of video understanding with Gemini 2.5

    Gemini 2.5 marks a major leap in video understanding, achieving state-of-the-art performance on key video understanding benchmarks and being able to seamlessly use audio-visual information with code and other data formats.

    2.5Pro_Metadata_VideoUnderstanding
  • MAY 8, 2025 / Gemini

    Gemini 2.5 Models now support implicit caching

    The rollout of implicit caching in the Gemini API expands on the existing explicit caching API, providing an "always on" caching system which offers automatic cost savings to developers using Gemini 2.5 models and continued availability of the explicit caching API for guaranteed savings.

    Gemini 2.5 Models now support Implicit Caching