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  • APR 09, 2025 / Cloud

    Announcing the Agent2Agent Protocol (A2A)

    Agent2Agent (A2A) protocol is an open standard designed to enable AI agents from different vendors and frameworks to collaborate and exchange information across enterprise platforms aiming to foster a future of seamless AI agent interoperability and enhanced automation.

    Agent2Agent Interoperability
  • APR 09, 2025 / Cloud

    Unlock your potential: Discover the enhanced Google Developer Program

    The Google Developer Program is evolving with AI-powered tools like Gemini Code Assist and expanded resources, including new Premium and Enterprise offerings, access to product previews, and increased workspace capacity, making it easier for developers to build and innovate.

    Google Developer Program evolves
  • APR 09, 2025 / AI

    Agent Development Kit: Making it easy to build multi-agent applications

    The Agent Development Kit (ADK), an open-source framework from Google designed to simplify the development of multi-agent systems, providing tools for building, interacting, evaluating, and deploying agents.

    Agent Development Kit: Making it easy to build multi-agent applications
  • APR 09, 2025 / Gemini

    Gemini 2.5 Flash and Pro, Live API, and Veo 2 in the Gemini API

    Updates to the Gemini API, including the production readiness of Veo 2 for video generation, the preview of the Live API for real-time interactions, and the upcoming Gemini 2.5 Flash model, alongside the existing Gemini 2.5 Pro aim to enhance developer capabilities in building AI applications with improved thinking models, dynamic interactions, and high-quality video generation.

    Gemini-2.5-meta
  • APR 08, 2025 / Cloud

    Simplified Dataflow Connectors with Managed I/O

    Google Cloud Dataflow's Managed I/O simplifies using Apache Beam I/O connectors by automatically updating connectors to the latest versions and providing a standardized API, optimizing connectors specifically for Dataflow, ensuring efficient performance and reducing the need for manual configuration, freeing users to focus on pipeline logic.

    Cloud-2-meta
  • MAR 25, 2025 / Gemini

    Introducing TxGemma: Open models to improve therapeutics development

    Google DeepMind releases TxGemma, built on Gemma, which predicts therapeutic properties, and Agentic-Tx, powered by Gemini 2.0 Pro, which tackles complex research problem-solving with advanced tools.

    TxGemma
  • MAR 12, 2025 / Gemma

    Introducing Gemma 3: The Developer Guide

    Gemma 3 is a new, advanced version of the Gemma open-model family featuring multimodality, longer context windows, and improved language capabilities, with various sizes and deployment options for developers to experiment.

    Gemma 3
  • MAR 12, 2025 / Gemma

    Safer and Multimodal: Responsible AI with Gemma

    ShieldGemma 2, built on Gemma 3, is a 4 billion parameter model that can be used as an input filter for vision language models or an output filter for image generation systems, and is designed to respond to a wide range of diverse and nuanced imagery.

    SheildGemma2
  • MAR 12, 2025 / Gemini

    Experiment with Gemini 2.0 Flash native image generation

    The experimental native image generation feature of Gemini 2.0 Flash – allowing for the combination of text and images, conversational image editing, and leveraging real-world knowledge for contextual visuals – is now available for developers to test through Google AI Studio and the Gemini API.

    Gemini 2.0 Flash native image generation
  • MAR 11, 2025 / Cloud

    Leveraging BigQuery JSON for Optimized MongoDB Dataflow Pipelines

    An enhancement to Google Cloud Dataflow templates for MongoDB Atlas enables direct integration of JSON data into BigQuery, eliminating complex data transformations, reducing operational costs, and enhancing query performance for users.

    MongoDB-BigQuery