Search

91 results

Clear filters
  • SEPT. 26, 2025 / AI

    Your AI is now a local expert: Grounding with Google Maps is now GA

    Grounding with Google Maps in Vertex AI is now generally available, helping developers build factual and reliable generative AI applications connected to real-world, up-to-date information from Google Maps. This unlocks better, more personal results and is useful across industries like travel, real estate, devices, and social media.

    unnamed
  • SEPT. 25, 2025 / AI

    Building the Next Generation of Physical Agents with Gemini Robotics-ER 1.5

    Gemini Robotics-ER 1.5, now available to developers, is a state-of-the-art embodied reasoning model for robots. It excels in visual, spatial understanding, task planning, and progress estimation, allowing robots to perform complex, multi-step tasks.

    Robotics-ER 1.5_Metadatal_RD6-V01
  • SEPT. 25, 2025 / AI

    Continuing to bring you our latest models, with an improved Gemini 2.5 Flash and Flash-Lite release

    Google is releasing updated Gemini 2.5 Flash and Flash-Lite preview models with improved quality, speed, and efficiency. These releases introduce a "-latest" alias for easy access to the newest versions, allowing developers to test and provide feedback to shape future stable releases.

    Rev21Flash_Metadatal_RD2-V01
  • SEPT. 24, 2025 / Cloud

    Google Colab Adds More Back to School Improvements!

    The new Colab features simplify and enhance notebook-based class materials. Instructors can now freeze runtime versions, and seamlessly present and copy notebooks. This improves reproducibility, stability, and shareability, making Colab ideal for researchers, educators, and developers. Slideshow mode and URL linking are also enhanced.

    ColabCorgi_Hero
  • SEPT. 22, 2025 / AI

    Gemini CLI 🤝 FastMCP: Simplifying MCP server development

    Gemini CLI now seamlessly integrates with FastMCP, Python's leading library for building MCP servers. We’re thrilled to announce this integration between two open-source projects that empowers you to effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI!

    Gemini CLI - FastMCP metadata image
  • SEPT. 16, 2025 / AI

    ADK for Java opening up to third-party language models via LangChain4j integration

    The Agent Development Kit (ADK) for Java 0.2.0 now integrates with LangChain4j, expanding LLM support to include third-party and local models like Gemma and Qwen. This release also enhances tooling with instance-based FunctionTools, improved async support, better loop control, and advanced agent logic with chained callbacks and new memory management.

    adk-langchain4j
  • SEPT. 10, 2025 / AI

    Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development

    We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit - supercharging Genkit development experience when using AI assistance.

    Genkit-Go-1.0-BlogMeta
  • SEPT. 9, 2025 / AI

    Beyond backpropagation: JAX's symbolic power unlocks new frontiers in scientific computing

    JAX, a framework known for large-scale AI model development, is proving to be a powerful tool in scientific computing, particularly for solving complex Partial Differential Equations (PDEs), now being leveraged by researchers to achieve significant speed-ups and memory reductions in solving high-order PDEs and demonstrating its potential to unlock new frontiers in scientific discovery.

    JAX's-Symbolic-Power-Blog-Meta
  • SEPT. 9, 2025 / AI

    A2A Extensions: Empowering Custom Agent Functionality

    A2A Extensions provide a flexible way to add custom functionalities to agent-to-agent communication, going beyond the core A2A protocol. They enable specialized features and are openly defined and implemented.

    GfD_evergreen_meta
  • SEPT. 4, 2025 / AI

    From Fine-Tuning to Production: A Scalable Embedding Pipeline with Dataflow

    Learn how to use Google's EmbeddingGemma, an efficient open model, with Google Cloud's Dataflow and vector databases like AlloyDB to build scalable, real-time knowledge ingestion pipelines.

    EG+Dataflow_Metadatal