这是记者13日从2026年石景山区"两会"新闻发布会上获悉的。 万隆表示，该区将以更高质量培育和发展新质生产力，发展壮大现代化产业体系。完善产业功能区布 局，以首钢园为核心向外拓展，打造文化科技、智能应用、科创服务等三大示范廊道，建设人工智能产 业集聚区、科幻游戏产业集聚区、银保园暨中电科智能科技园、工业互联网产业园、虚拟现实产业园、 市级高新区等六大特色园区。 培育引进一批科技领军人才和创新团队 石景山区区长万隆表示，该区将以更高水平服务创新驱动发展，协同推进教育科技人才一体化发展。夯 实创新育才根基，投用首钢东南区配套学校和衙门口配套小学，高标准建设全国中小学科学教育实验 区，建成不少于20间人工智能创新实验室。 同时，优化创新发展生态，加快共建哈工大北京研究院，推进与清华大学等高校战略合作，落地建设具 身智能系统等重点实验室。强化企业科技创新主体地位，推进产学研联合攻关，力争在人形机器人、智 慧出行等领域实现新突破。强化创新人才招引，培育引进一批科技领军人才和创新团队，加大对青年人 才创新创业的支持力度。 建设人工智能产业集聚区等特色园区 中新网北京1月13日电 (记者 陈杭)今年，北京市石景山区将夯实 ...

Group 1 - The core idea presented by Ni Guangnan is that the integration of AI and spatial computing is a key technology for implementing the national "Artificial Intelligence+" initiative, which is reconstructing the three-dimensional physical world and expanding the bridge for large models to connect with the physical world [1][4] - The robot industry is transitioning from being automated tools to intelligent entities, with the focus on enhancing robots' intelligence to enable them to "see, understand, and act in the world" [1][2] - Visual perception is emphasized as the starting point of intelligence, with a comparison made between the amount of visual information a four-year-old child learns and the total text information learned by a typical large language model [1][5] Group 2 - Ni Guangnan categorizes the development of manufacturing into two stages: traditional industrialization (Industry 4.0) and new industrialization (Industry 5.0), where robots evolve from passive automation tools to autonomous decision-making intelligent entities [2][8] - The proposed integrated intelligent system for robots consists of three components: brain (based on large models), eyes (visual systems using AI and spatial computing), and action (robot operating systems like AgileROS) [3][11] - The future vision includes building an autonomous AI robot ecosystem similar to historical tech alliances, focusing on RISC-V chip architecture and open-source systems [12] Group 3 - The relationship between the digital world and the physical world is shifting from a mapping relationship to a deep integration, with robots transitioning from automation tools to intelligent entities [8][9] - The current state of robots is primarily at levels L1 to L3, with aspirations to elevate their intelligence to L4 and above through advancements in their "brain" and "eyes" [9][10] - The goal is to upgrade robots' operating systems to an integrated intelligent system, allowing them to effectively perceive, understand, and act within their environments [10][12]