Core Viewpoint - The article discusses the essence of world models and digital twins in the context of autonomous driving, emphasizing their role in training perception models in virtual environments and applying them to real-world scenarios [5][6]. Group 1: World Models - World models are defined as the ultimate goal of modeling the physical world, focusing on "spatiotemporal cognition" and requiring vast amounts of video data for training [7]. - The development of world models is shifting from simple visual dynamics simulation to creating immersive interactive environments that reflect real-world complexities [8]. - The core consensus among researchers is that the primary purpose of world models is to understand dynamic environments and predict future scenarios [7][9]. Group 2: Applications in Autonomous Driving - In autonomous driving, world models must provide real-time perception of road conditions and accurately predict their evolution, focusing on immediate environmental awareness and complex trend forecasting [11]. - Key features of effective world models include physical consistency, multiscale spatiotemporal modeling, causal reasoning capabilities, and the ability to generate interactive environments [11]. - Various companies are implementing world models, such as NIO's NWM world model for simulation training, Xiaomi's ORION framework for integrating simulation tools, and Wayve's GAIA-1 for generative world modeling [17]. Group 3: Digital Twins - Digital twins are defined as virtual representations of physical systems that allow for low-cost, high-efficiency research on key technologies and solutions in autonomous driving [19]. - The role of digital twins extends beyond mere observation; they participate in iterative processes to enhance real-world applications [19]. - Digital twins facilitate the modeling of physical world elements in virtual spaces, enabling further work on perception models and system iterations [20][21]. Group 4: Related Technologies - Technologies such as 3D occupancy grids and point clouds are utilized to predict spatial occupancy and enhance scene understanding in autonomous driving [22]. - The integration of multimodal inputs, including visual and LiDAR data, is crucial for improving depth estimation and overall perception accuracy [92]. - The article highlights the importance of self-supervised learning techniques in enhancing the efficiency of 3D scene reconstruction and semantic labeling in autonomous driving applications [90][91].

人民网记者欧阳易佳 世界东方，中国西部，岷江上游，矗立着一座跨越两千多年时光的水利丰碑——都江堰。公元前256 年，秦国蜀郡太守李冰率众凿山开江，垒石为堋，以"乘势利导、因时制宜"的哲思驯服岷江，造就"水 旱从人，不知饥馑"的天府之国。 而今，这座灌溉面积超千万亩、惠泽数千万人口的古老生态灌区，正将"尊重自然、因势利导"的古老智 慧，注入数字时代的磅礴脉动，谱写守护天府安澜的新篇章。12月中旬，人民网记者跟随水利部、四川 省水利厅调研组深入四川省都江堰灌区进行实地调研。 在灌区千余处关键断面，计量设施如同精密的"水表"，实时感知水流。近三百座关键闸门经过自动化改 造，告别了人工操作开关闸门的模式。 都江堰灌区指挥中心主任李劲介绍，在应对2024年都江堰鱼嘴近十年最大洪峰过境，2025年成都市中心 城区极端暴雨过程中，数字孪生系统提前模拟出水流路径与工程响应，为现实中的安澜度汛提供了精准 导航。"我们通过打造'一云、一网、一中台、一平台'信息化架构，灌区汇聚了海量数据（603138）资 源。已完成渠首26.7平方公里实景建模，接入了百余个视频监控与安全监测设备，并依托共享的水利模 型与算法平台，基本完成了'算据 ...

2025年12月26日（周五），养心殿重新开放！ 养心殿位于乾清宫西侧，西六宫迤南，始建于明代嘉靖十六年（1537年），曾为明清多位帝王理政起居 之所。 转自：北京日报客户端 修缮前的养心殿建筑存在瓦顶天沟开裂、梁柱糟朽、墙体空鼓、油饰彩画剥落等问题，原状陈列文物也 受到紫外线光照、室内环境变化等因素的侵袭，部分出现老化、损伤情况。因此，经过慎重评估，2015 年12月，作为故宫"百年大修"的核心工程，养心殿研究性保护项目正式启动，这是养心殿历史上首次系 统性的、基于深入研究的保护与修复项目。 3 te 号根 三 歲 元 周 百 t T Press Black 四世史发 615 1 under and state the state 5 22 养心殿研究性保护项目以"价值评估、技艺传承、人才培养、机制创新"为核心，以"最大限度保留古建 筑历史信息、不改变古建筑和文物原状"为原则，组建了由资深专家组成的咨询委员会和技术质量顾问 组，联合多所高校与科研机构开展跨学科协作。 修缮前期，工作人员先是完成了殿内一千余件可移动文物的撤陈与数据采集，每件文物都配备量身定制 的四层防护箱匣，确保转运安全。亟待修复的文物们被送 ...

【讲武堂】 作者：李功淼、谢荣华（单位：陆军工程大学军事基础系、武警江苏总队机动支队） 陆地，坦克、步战车纵横驰骋；空中，多型战机混合编组，无人机蜂群多向出击；海上，数艘战舰列阵 巡弋；电抗、通信分队组网建链，在电磁空间展开激烈较量……这是我军实战化训练呈现的崭新场景。 2026年即将来临，全军年初开训动员活动也将展开，官兵们将以饱满热情开展新一年度军事训练，全面 提升打赢能力。军事训练是生成和提高战斗力的基本途径，也是部队经常性中心工作。当前，要紧扣建 军一百年奋斗目标，聚焦备战打仗，充分认识军事训练转型升级的内在要求，把握军事训练未来发展的 趋势规律，不断提升打赢未来信息化智能化战争的能力。 1.实战化军事训练取得新成效 "兵不闲习，不可以当敌。"军事训练历经白刃格斗技术、火器射击技术、现代兵器使用技术和信息化武 器装备使用技术等四次技术形态的变化，其背后蕴含着技术创新突破、观念革新推动、严格训练落实的 底层逻辑。 "欲得强兵，必须坚甲利器，实选实练。"作为战争的预实践，军事训练离实战越近，离打赢就越近。只 有从难从严从实战出发进行训练准备，才能在战场打胜仗。 军事训练也是人民军队由小到大、由弱到强的重要 ...

Core Viewpoint - The future of AI will not be dominated by a single or few large cloud models, as there is a fundamental conflict between efficiency and sovereignty when AI attempts to integrate into personal lives [2] Group 1: AI Sovereignty and Personal AI - There is a distinction between public AI, which is platform-centric and controlled by commercial entities, and personal AI, which represents individual interests and allows users to own their data and algorithm evolution rights [2][11] - The establishment of "personal AI sovereignty" marks a critical transition from AI as an assistant to AI as a teammate [2][10] - A lack of clear sovereignty definitions has led to a trust crisis as personal AI agents attempt to replace users in tasks [2][3] Group 2: Industry Structure and Collaboration - The AI industry needs a structural transformation to define boundaries, interfaces, and collaboration methods from the ground up, with a focus on user control [7][8] - A new industry architecture is proposed, consisting of three layers: integration layer, service layer, and capability layer, which aims to reduce user anxiety regarding privacy and security [8][9] - The architecture allows for local execution of privacy-related tasks, minimizing concerns about data exposure [9] Group 3: New Order and Ecosystem Development - Establishing personal AI sovereignty requires efficient protocols for interaction among sovereign entities to build order [15][16] - Lenovo aims to replace invasive methods with protocols that respect user sovereignty, introducing models like the Model Context Protocol (MCP) and Agent to Agent (A2A) agreements [17] - The shift in business logic from traditional keyword matching to a focus on task completion rates signifies a new paradigm in AI interactions [18] Group 4: User Experience and AI Evolution - The foundation of safety and rules is strengthened by personal AI sovereignty, allowing for the evolution of AI into a "digital twin" that closely mirrors user thought processes [25][28] - Lenovo's AI 3.5 showcases advancements in continuous memory, collaborative actions among multiple agents, and user-friendly interfaces that adapt to user intentions [30][31][33] - The long-term vision for AI competition is shifting from model capabilities to the design of systems and definitions of sovereignty [37] Group 5: Future Implications and Observations - The path towards AI becoming a true teammate requires not only stronger models but also an accepted rule system [38] - Lenovo's approach emphasizes stable progress, long-term accumulation, and ecosystem co-construction, reflecting a mature industry participant's experience [38]

Core Insights - The exhibition design industry is evolving rapidly due to technological advancements and diverse social demands, leading to intense competition among companies [1] Group 1: Company Overview - Yima Vision (Beijing) Cultural Media Co., Ltd. demonstrates exceptional strength in the exhibition design industry [2] Group 2: Successful Case Studies - Collaboration with a Fortune 500 energy company to create an exhibition showcasing its global energy strategy and innovations, utilizing advanced digital display technologies like holographic projection and interactive screens [4] - A project with a well-known state-owned enterprise's museum, creating an immersive historical scene using virtual reality technology to reflect the company's growth and transformation [4] Group 3: Technology and Innovation - Yima Vision is exploring new display methods, including a smart gesture recognition system that enhances visitor interaction and experience [5] - The company is at the forefront of digital twin technology, allowing real-time monitoring and management of exhibition spaces [5] Group 4: Market Reputation and Customer Satisfaction - Yima Vision has earned a strong market reputation with a customer repurchase rate of 65%, indicating high customer satisfaction and loyalty [6] Group 5: Other Notable Companies - Lingchuang Exhibition Design Co., Ltd. specializes in commercial exhibition design, creating unique display spaces tailored to different brands [9] - Jingzhan Exhibition Service Co., Ltd. excels in cultural exhibition design, combining cultural content with modern display technologies [10] - Hongzhan Exhibition Engineering Co., Ltd. has advantages in large industrial exhibition design, effectively showcasing complex industrial processes [11] Group 6: Comparative Analysis - Yima Vision stands out in the comprehensive application of cutting-edge technologies, particularly in digital twin and multimedia interaction [12] - Lingchuang focuses on lighting and spatial design in commercial displays, while Jingzhan emphasizes cultural integration in exhibitions, and Hongzhan specializes in industrial displays [12] - Yima Vision positions itself as a high-end comprehensive exhibition design solution provider, while Lingchuang targets commercial brand displays, Jingzhan aims for cultural innovation, and Hongzhan focuses on industrial achievements [14] Group 7: Industry Outlook - By 2025, Yima Vision is expected to maintain a significant position in the exhibition design industry due to its extensive business scope, strong technological capabilities, and positive market reputation, while other companies will also play important roles in their respective fields [15]

2 0 2 6 新年快乐，万事胜意 讲故事是CEO最核心的能力之一。在美国医疗行业，CEO的年度致辞往往是每年医院公共关系中最重要的一个环节，梅奥、克利夫兰、霍普金斯、麻总等 等都是如此。 我在此转帖克利夫兰CEO汤姆·米哈尔杰维奇博士的《2025年致辞》（State of the Clinic 2025）。（发表于2025年1月）看他如何将年度致辞作为一场增强 内部凝聚力、展示行业领导力、巩固社会公信力的战略传播活动。让我们思考从中获得哪些启发。 一、拆解致辞的叙事结构 开篇他先是通过重新定义身份，将83,000名员工统一称为"照护者（Caregivers）"，而非简单的雇员，以此在宏观经济压力和劳动力短缺的大背景下，不仅 确立了职业的神圣感，更为后续要求团队共克时艰奠定了心理基调 。 在进入沉重的财务话题之前，CEO花费了大量篇幅讲述了一个极具张力的内部故事：一位新生儿重症监护室（NICU）的护士突发心脏病，被心脏科的同 事救回一命，康复后她又回到岗位，恰巧照顾了那位救命恩人的早产孙女 。这个故事是一种高明的管理策略。它打破了"医护"与"患者"的二元对立，向 全员传递了一个潜台词：我们提供的医疗标准必须是 ...

在当今智能制造浪潮的推动下，工业3D与数字孪生技术正以前所未有的速度重塑着传统制造业的格局。从工厂生产线的虚拟调试，到产品全生命周期的动 态管理，这项技术已不再是遥远的概念，而是切实提升企业效率、降低运营成本的核心工具。面对市场上众多的解决方案，许多企业主和工程师都在思考： 究竟哪家工业3D平台更适合我的业务？数字孪生的深化应用又会带来哪些实际价值？为了解答这些疑问，我们深入调研了市场主流产品，从技术深度、行 业应用、用户体验等多维度进行评估，梳理出这份具有参考价值的榜单，希望能为您的数字化之旅提供一份实用的指南。 评估框架解析 在深入榜单之前，我们有必要先了解本次评估所依据的核心框架。一个优秀的工业3D与数字孪生平台，绝非仅仅拥有华丽的渲染效果，其核心竞争力在于 能否将数据与模型深度融合，服务于实际的工业场景。 我们主要从以下几个关键维度进行考量：核心技术能力，包括三维建模的精度、实时渲染的效率、多源数据融合的能力以及仿真的准确性；行业解决方案的 成熟度，即平台在特定行业（如机械制造、汽车、航空航天等）是否有经过验证的成功案例；平台的开放性与集成能力，能否与现有的ERP、MES等系统无 缝对接；以及用户体验 ...

资金流向方面，主力资金净流入132.20万元，特大单买入284.53万元，占比2.31%，卖出252.97万元，占 比2.05%；大单买入2291.93万元，占比18.59%，卖出2191.29万元，占比17.77%。 截至12月10日，易华录股东户数6.67万，较上期减少1.36%；人均流通股10476股，较上期增加1.38%。 2025年1月-9月，易华录实现营业收入4.15亿元，同比减少3.91%；归母净利润-5.35亿元，同比增长 12.78%。 12月26日，易华录盘中上涨2.06%，截至13:09，报16.86元/股，成交1.23亿元，换手率1.06%，总市值 121.37亿元。 易华录今年以来股价跌27.95%，近5个交易日涨3.88%，近20日跌12.32%，近60日跌24.09%。 今年以来易华录已经1次登上龙虎榜，最近一次登上龙虎榜为2月14日，当日龙虎榜净买入1.20亿元；买 入总计3.59亿元 ，占总成交额比12.92%；卖出总计2.39亿元 ，占总成交额比8.59%。 资料显示，北京易华录信息技术股份有限公司位于北京市石景山区阜石路165号院华录大厦，成立日期 2001年4月30日， ...

中化新网讯 12月19日，国家互联网信息办公室发布《数字化绿色化协同转型发展报告（2025）》（下 称《报告》），并提出，"十五五"期间，重工业地区将聚焦化工、建材等重点行业，推动大数据、人工 智能、工业互联网等数智技术与绿色技术的深度融合，引领高碳工业流程实现低碳再造和数字化转型， 全面推动工业生产、能源使用与管理方式的全流程智能化绿色化升级。 二是推动企业能源管理智慧化升级。通过建设数字化能碳管理平台，打通电、气、热等多种能源数据的 采集与分析通道，依托人工智能算法和大数据模型，实现用能预测、峰谷优化、负荷调节与碳排放核算 管理等功能，助力企业科学制定综合用能计划。 《报告》指出，2024年传统产业数绿改造提升持续深化革新传统生产方式，构建高效智能生产体系。生 成式人工智能、数字孪生等数字技术加快落地应用，推动传统产业逐步摆脱粗放式制造和经验驱动模 式，迈向智能化、柔性化和绿色化的生产新范式。在设计研发环节，利用大模型对产品结构数据进行分 析，探究产品的构型和机理，生成具备创新结构与性能的新产品；在工艺优化环节，利用历史工艺数据 进行训练，快速筛选最优工艺参数组合，缩短测试与优化周期；在生产调度环节，对产 ...