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  • JULY 30, 2025 / Gemini

    Gemini Embedding: Powering RAG and context engineering

    The Gemini Embedding model enhances AI applications, particularly through context engineering, which is being successfully adopted by various organizations across industries to power context-aware systems, leading to significant improvements in performance, accuracy, and efficiency.

    Gemini Embedding: Powering RAG and context engineering
  • JULY 24, 2025 / AI

    The agentic experience: Is MCP the right tool for your AI future?

    Apigee helps enterprises integrate large language models (LLMs) into existing API ecosystems securely and scalably, addressing challenges like authentication and authorization not fully covered by the evolving Model Context Protocol (MCP), and offering an open-source MCP server example that demonstrates how to implement enterprise-ready API security for AI agents.

    The Agentic experience: Is MCP the right tool for your AI future?
  • JULY 16, 2025 / Cloud

    Stanford’s Marin foundation model: The first fully open model developed using JAX

    The Marin project aims to expand the definition of 'open' in AI to include the entire scientific process, not just the model itself, by making the complete development journey accessible and reproducible. This effort, powered by the JAX framework and its Levanter tool, allows for deep scrutiny, trust in, and building upon foundation models, fostering a more transparent future for AI research.

    Stanford Marin project in JAX
  • JULY 14, 2025 / Cloud

    Enterprise truth in action: Apigee API hub fueling powerful Developer Portals

    The Apigee API hub and Developer Portals are distinct but interconnected parts of the Apigee platform that help organizations discover and manage APIs for different personas, unlocking API potential and accelerating innovation.

    Enterprise Truth in Action: API hub Fueling Powerful Developer Portals
  • JULY 10, 2025 / Gemini

    Announcing GenAI Processors: Build powerful and flexible Gemini applications

    GenAI Processors is a new open-source Python library from Google DeepMind designed to simplify the development of AI applications, especially those handling multimodal input and requiring real-time responsiveness, by providing a consistent "Processor" interface for all steps from input handling to model calls and output processing, for seamless chaining and concurrent execution.

    Announcing GenAI Processors: Streamline your Gemini application development
  • JULY 10, 2025 / Cloud

    Advancing agentic AI development with Firebase Studio

    Updates in Firebase Studio include new Agent modes, foundational support for the Model Context Protocol (MCP), and Gemini CLI integration, all designed to redefine AI-assisted development allow developers to create full-stack applications from a single prompt and integrate powerful AI capabilities directly into their workflow.

    Advancing agentic AI development with Firebase Studio
  • JUNE 26, 2025 / AI

    Unlock deeper insights with the new Python client library for Data Commons

    Google has released a new Python client library for Data Commons – an open-source knowledge graph that unifies public statistical data, and enhances how data developers can leverage Data Commons by offering improved features, support for custom instances, and easier access to a vast array of statistical variables – developed with contributions from The ONE Campaign.

    data-commons-python-library-meta
  • JUNE 26, 2025 / Gemma

    Introducing Gemma 3n: The developer guide

    The Gemma 3n model has been fully released, building on the success of previous Gemma models and bringing advanced on-device multimodal capabilities to edge devices with unprecedented performance. Explore Gemma 3n's innovations, including its mobile-first architecture, MatFormer technology, Per-Layer Embeddings, KV Cache Sharing, and new audio and MobileNet-V5 vision encoders, and how developers can start building with it today.

    Introducing Gemma 3n: The Developer Guide
  • JUNE 24, 2025 / Gemini

    Gemini 2.5 for robotics and embodied intelligence

    Gemini 2.5 Pro and Flash are transforming robotics by enhancing coding, reasoning, and multimodal capabilities, including spatial understanding. These models are used for semantic scene understanding, code generation for robot control, and building interactive applications with the Live API, with a strong emphasis on safety improvements and community applications.

    Gemini 2.5 for robotics and embodied intelligence
  • JUNE 23, 2025 / Cloud

    Google Cloud donates A2A to Linux Foundation

    Google, along with Amazon and Cisco, announces the formation of the Agent2Agent Foundation under the Linux Foundation, establishing A2A as an industry standard for AI agent interoperability, fostering a diverse ecosystem, ensuring neutral governance, and accelerating secure innovation in AI applications.

    Google Cloud donates A2A to Linux Foundation