Search

275 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 / Mobile

    On-device GenAI in Chrome, Chromebook Plus, and Pixel Watch with LiteRT-LM

    Google AI Edge provides the tools to run AI features on-device, and its new LiteRT-LM runtime is a significant leap forward for generative AI. LiteRT-LM is an open-source C++ API, cross-platform compatibility, and hardware acceleration designed to efficiently run large language models like Gemma and Gemini Nano across a vast range of hardware. Its key innovation is a flexible, modular architecture that can scale to power complex, multi-task features in Chrome and Chromebook Plus, while also being lean enough for resource-constrained devices like the Pixel Watch. This versatility is already enabling a new wave of on-device generative AI, bringing capabilities like WebAI and smart replies to users.

    Screens-1-banner (1)
  • SEPT. 24, 2025 / AI

    Introducing the Data Commons Model Context Protocol (MCP) Server: Streamlining Public Data Access for AI Developers

    Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.

    BLOG-HERO-A2
  • 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

    Gemini Batch API now supports Embeddings and OpenAI Compatibility

    Gemini Batch API now supports Embeddings and OpenAI compatibility, allowing asynchronous processing at 50% lower rates. The new Gemini Embedding Model can be leveraged with the Batch API for cost-sensitive use cases. OpenAI SDK compatibility simplifies switching to Gemini Batch API.

    GeminiBatchAPI_16x9_RD2-V01
  • 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