英伟达CES 2026推物理AI重塑自动驾驶

DoNews01-09

英伟达CES 2026推物理AI重塑自动驾驶在2026年国际消费电子展（CES 2026）上，英伟达创始人兼CEO黄仁勋围绕“Physical AI”（物理AI）发表主题演讲，提出AI系统需在真实世界中理解环境并对其行为负责。物理AI被视为超越虚拟运算的系统性重构，强调对因果关系与物理约束的理解，尤其提升对极端和长尾场景的处理能力。英伟达将自动驾驶系统重新定义为“推理平台”，推动从“感知 + 大...

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driving","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"2NVD.UK":0.6,"NVDY":0.6,"NVIW.SI":0.6,"NVDD":0.6,"3NVD.UK":0.6,"NVDS.UK":0.6,"NVD":0.6,"NVDX":0.6,"NVD3.UK":0.6,"NVD2.UK":0.6,"SNVD.UK":0.6,"NVDA":1.97,"NVDU":0.6,"NVDS":0.6},"content_text":"英伟达CES 2026推物理AI重塑自动驾驶在2026年国际消费电子展（CES 2026）上，英伟达创始人兼CEO黄仁勋围绕“Physical AI”（物理AI）发表主题演讲，提出AI系统需在真实世界中理解环境并对其行为负责。物理AI被视为超越虚拟运算的系统性重构，强调对因果关系与物理约束的理解，尤其提升对极端和长尾场景的处理能力。英伟达将自动驾驶系统重新定义为“推理平台”，推动从“感知 + 大模型推演”向“理解 + 推理 + 决策”架构迁移。新架构要求系统具备三项关键能力：理解物理环境中因果关系、在罕见场景下保持决策鲁棒性、以及对推理过程进行审计与解释。这一转变标志着自动驾驶进入“物理智能”时代。为支撑物理AI实现，英伟达发布全栈技术体系。其新一代AI计算平台Vera Rubin已进入全面生产阶段，计划于2026年下半年投入市场，提供更高性能与更低运行成本。高精度仿真系统通过模拟现实物理特性，补足真实数据稀缺性，降低训练风险与成本。同时，英伟达推出面向物理智能的基础模型与专用模块，涵盖世界模型与推理模型，并推动开源模型与数据集发布，构建开放生态。产业落地方面，Mercedes-Benz CLA量产车型将率先搭载NVIDIA DRIVE AV软件栈，计划2026年第一季度在美国上市，随后进入欧洲及其他市场。该系统支持Level 2++自动驾驶能力，成为英伟达全栈解决方案的首次量产验证。梅赛德斯-奔驰与英伟达的合作延伸至软件定义车辆架构、AI驱动能力及数字化开发流程。此外，NVIDIA DRIVE平台已被Uber、Stellantis、Lucid、Nuro等企业采用，用于开发自动驾驶与机器人出行系统，并基于Hyperion和DRIVE AGX架构建设统一数据工厂与模型训练体系。英伟达通过开放模型Alpamayo、仿真平台AlpaSim及Halos认证体系，打造可共享迭代的开发生态，降低研发门槛。行业仍面临挑战：仿真与现实之间存在鸿沟，迁移安全性需保障；物理AI的决策涉及安全责任边界，要求标准与监管快速跟进；英伟达生态虽具优势，但平台锁定效应引发竞争，开放与整合平衡成关键议题。总体来看，英伟达正推动自动驾驶从“感知驱动”向“理解与推理驱动”转变。当AI系统能真正理解物理环境并对行为负责时，智能汽车将成为具备自主判断与行动能力的物理智能体，标志着自动驾驶与物理AI时代的拐点到来。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; 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