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  1. TechCrunch · AI

    Get all your questions answered at TechCrunch Disrupt 2026: The full breakout session agenda revealed

    中文摘要

    在 TechCrunch Disrupt 2026 上,所有关于扩展和技术的问题都将得到解答。这里是完整的分组会议日程,将于10月13日至15日在旧金山举行。现在立即注册参加,可节省最高100美元,并以50%的折扣获得第二张通行证。

    英文原文

    Get all of your scaling and tech questions answered at TechCrunch Disrupt 2026. Here's the full breakout session agenda, happening October 13-15 in San Francisco. Register now to join and save up to $100, and get a second pass at 50% off.

  2. The Decoder

    Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model

    中文摘要

    Reka AI的Rho-1是一个拥有190亿参数的全能模型,它在一个神经网络中处理和生成文本、图像、视频和机器人控制动作。Rho-1在大约三个月内使用了320块H100 GPU进行训练,其所使用的计算资源仅为当前顶级模型所需的一小部分。Rho-1不是将任务路由到专门的系统,而是将所有模态作为标记在一个共享的上下文窗口中运行。文章《Reka AI的全能模型Rho-1在一个模型中处理文本、图像、视频和机器人控制》首先出现在The Decoder上。

    英文原文

    Reka AI's Rho-1 is a 19-billion-parameter omni-model that processes and generates text, images, video, and robot control actions in a single neural network. Trained on 320 H100 GPUs in about three months, it uses a fraction of the compute today's top models need. Instead of routing tasks to specialized systems, Rho-1 runs all modalities as tokens in one shared context window. The article Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model appeared first on The Decoder .

  1. NVIDIA Blog

    NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development

    中文摘要

    要构建和部署能够在动态环境中感知、推理和行动的复杂机器人应用,开发者需要新的物理AI模型和工具。ROS开放框架是由Open Robotics发起的一个项目,旨在帮助人类构建机器人。NVIDIA Isaac ROS 5.0——一组基于ROS的GPU加速软件包,今天在[…]发布。

    英文原文

    To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]

  2. NVIDIA Blog

    Why Deploying Physical AI at Scale Demands Safety at Every Layer

    中文摘要

    物理人工智能正迅速从研究阶段转向大规模部署。到2035年,ABI Research预计自动驾驶汽车(AVs)的安装量将达到4900万辆,级别为3至5级;而Omdia估计,2026年至2035年间,将部署大约6000万台工业机器人。随着这些机器进入与人类共享的道路、工厂、仓库和其他环境,[…]

    英文原文

    Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

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