Workflow
物理AI(Physical AI)
icon
Search documents
全尺寸人形机器人Agile ONE来了!思灵机器人推进物理AI落地
机器人大讲堂· 2025-11-25 06:20
这份底气,源自思灵 机器人 深厚的产业积累与技术沉淀。这家成立于 2018年的公司,如今 在全球 已拥有 2500名 左右 员工 ,在过去四年中 收入翻了 几 番 ,并已在全球成功 使用了 超过 20,000 台机器人 ,尤其 在要求严苛的汽车和消费电子行业积累了深厚的产业认知。 Agile ONE正是站在其强大的现有产品组合—— 包括 Agile Hand(灵巧手)、FR3力控机械臂、Diana 7 智能力控机器人 等 肩膀上诞生的。 Agile ONE的发布,其真正价值在于其背后集成的三大关键 优势 :一个基于真实世界数据训练的 分层 AI系 统 、一双源自德国宇航中心( DLR)顶尖传承的 灵巧手 ,以及一套以信任为基石的 人机交互理念 。正如 陈兆芃博士所言: " 我们的人机交互、灵巧操作以及用于分层 AI系统的基础模型,都有助于将Agile ONE与 竞争对手区分开来。 " 全球全尺寸人形机器人的 赛道上 , 又 一位 重磅级 玩家正式 入场! 作为领先的智能机器人解决方案提供者 , 思灵机器人( Agile Robots) 近日 发布了其 全尺寸人形机器人 ——Agile ONE 。 "我们相信下 ...
贝索斯携AI初创公司“普罗米修斯”高调回归硅谷 聚焦太空、机器人以及硬核物理
智通财经网· 2025-11-18 07:19
Group 1 - Jeff Bezos is establishing an AI startup named Project Prometheus, aiming to compete with OpenAI and Elon Musk's xAI, and will serve as co-CEO [1][2] - Project Prometheus has secured $6.2 billion in funding, primarily from Bezos himself, making it one of the best-funded early-stage AI startups [1][2] - The startup focuses on AI applications in various fields, including aerospace, automotive, and advanced manufacturing, aligning with Bezos's interest in sending humanity into space [2][3] Group 2 - Vik Bajaj, a top physicist and chemist, is co-founding and co-leading Project Prometheus, having previously worked at Google X and co-founded Verily [2][3] - The ultimate goal of Project Prometheus is to develop a "super AI model" capable of deep learning in more complex ways than existing AI chatbots like ChatGPT [3] - The company has recruited nearly 100 employees, including senior AI researchers from leading tech firms such as OpenAI, DeepMind, and Meta Platforms [3] Group 3 - The concept of "Physical AI" is emphasized, which involves enabling robots and autonomous systems to perceive, reason, and act in the real world [4] - NVIDIA is focusing on providing the computational power and platforms for "embodied AI," contrasting with the approaches of Tesla and Project Prometheus [4]
富士通与英伟达联合开发AI半导体
日经中文网· 2025-10-04 08:51
Core Insights - Fujitsu and NVIDIA are collaborating to develop a semiconductor aimed at artificial intelligence (AI) applications, with a goal to connect their chips on the same substrate by 2030, enhancing computational efficiency and energy savings [1][2] - The partnership aims to tap into new markets such as data centers and robotics, leveraging NVIDIA's expertise in GPU technology and Fujitsu's CPU development [1][2] Group 1: Collaboration Details - The joint semiconductor development will utilize NVIDIA's technology to achieve ultra-fast interconnectivity between multiple chips, allowing them to function as a single chip [1] - Fujitsu's new CPU, named "MONAKA," is being developed based on Arm architecture, with a target of achieving double the power efficiency compared to competitors, and is expected to be operational by 2027 [2] - The collaboration is expected to enhance energy efficiency significantly, with Fujitsu's president stating it marks an important step towards an AI-driven society [2] Group 2: Market Expansion and Strategic Goals - NVIDIA is looking to expand its market presence in Japan by leveraging Fujitsu's extensive experience in system construction and its established customer base across various sectors, including government and finance [5] - The partnership also includes plans for future collaboration on the successor to the "Fugaku" supercomputer, aiming for higher computational capabilities by integrating CPU and GPU technologies [5] - Other Japanese companies, such as Hitachi and NTT, are also engaging in partnerships with international firms to enhance energy efficiency in AI data centers, indicating a broader trend of collaboration in the tech industry [4]