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  • 2025年6月26日 / 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
  • 2025年6月26日 / 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
  • 2025年6月25日 / Gemini

    Simulating a neural operating system with Gemini 2.5 Flash-Lite

    A research prototype simulating a neural operating system generates UI in real-time adapting to user interactions with Gemini 2.5 Flash-Lite, using interaction tracing for contextual awareness, streaming the UI for responsiveness, and achieving statefulness with an in-memory UI graph.

    Behind the prototype: Simulating a neural operating system with Gemini
  • 2025年6月24日 / Gemini

    Supercharge your notebooks: The new AI-first Google Colab is now available to everyone

    The new AI-first Google Colab enhances productivity with improvements powered by features like iterative querying for conversational coding, a next-generation Data Science Agent for autonomous workflows, and effortless code transformation. Early adopters report a dramatic productivity boost, accelerating ML projects, debugging code faster, and effortlessly creating high-quality visualizations.

    Supercharge your notebooks: The new AI-first Google Colab is now available to everyone
  • 2025年6月24日 / Kaggle

    Using KerasHub for easy end-to-end machine learning workflows with Hugging Face

    KerasHub enables users to mix and match model architectures and weights across different machine learning frameworks, allowing checkpoints from sources like Hugging Face Hub (including those created with PyTorch) to be loaded into Keras models for use with JAX, PyTorch, or TensorFlow. This flexibility means you can leverage a vast array of community fine-tuned models while maintaining full control over your chosen backend framework.

    How to load model weights from SafeTensors into KerasHub for multi-framework machine learning
  • 2025年6月24日 / 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
  • 2025年6月24日 / Gemini

    Imagen 4 is now available in the Gemini API and Google AI Studio

    Imagen 4, Google's advanced text-to-image model, is now available in paid preview via the Gemini API and Google AI Studio, offering significant quality improvements, especially for text generation within images. The Imagen 4 family includes Imagen 4 for general tasks and Imagen 4 Ultra for high-precision prompt adherence, with all generated images featuring a non-visible SynthID watermark.

    Imagen 4 is now available on Gemini API and Google AI Studio
  • 2025年6月23日 / Cloud

    Google Cloud 将 A2A 技术捐赠给 Linux 基金会

    Google 以及 Amazon 和 Cisco 宣布在 Linux 基金会下成立 Agent2Agent 基金会,将 A2A 确立为 AI 智能体互操作性的行业标准,旨在培育多元化生态系统、确保中立治理,并加速 AI 应用领域的安全创新。

    Google Cloud donates A2A to Linux Foundation
  • 2025年6月23日 / Kaggle

    Multilingual innovation in LLMs: How open models help unlock global communication

    Developers adapt LLMs like Gemma for diverse languages and cultural contexts, demonstrating AI's potential to bridge global communication gaps by addressing challenges like translating ancient texts, localizing mathematical understanding, and enhancing cultural sensitivity in lyric translation.

    Multilingual innovation in LLMs: How open models help unlock global communication
  • 2025年6月18日 / Cloud

    Apigee API Management 中的 Gemini Code Assist 现已面向公众发布

    Apigee API Management 中的 Gemini Code Assist 通过 AI 辅助功能(如自然语言 API 创建、AI 生成的摘要和迭代设计)增强了 API 开发,允许与组织的现有 API 生态系统无缝集成,并确保一致性、安全性和减少重复,同时提供企业级安全性和简化的开发工作流程。

    Gemini Code Assist in Apigee API Management now generally available