作为世界上最大的水利枢纽工程，三峡工程是我国"西电东送"和"南北互供"的骨干电源点，如今，这 一"国之重器"正在大数据、云计算、人工智能、数字孪生等技术赋能之下，加速变革，在新时代给出了 智慧"三峡方案"。 来源：人民网-科普中国 【编者按】千万IP创科普，共筑科技强国梦。为普及科学知识，弘扬科学精神，提高全民科学文化素 质，助力实现高水平科技自立自强，中国科协科普部与人民网联合策划推出"见证科技之路"主题报道， 聚焦国家科技战略政策、重要科技奖项、"卡脖子"关键核心技术等，深入基层一线开展采访调研，推出 一批生动鲜活的科普精品，大力弘扬科学家精神，为建设科技强国汇聚磅礴力量。 0:00 ...

Core Viewpoint - Six new companies are set to list on the Hong Kong Stock Exchange on December 30, 2025, marking a significant event referred to as 'six gongs ringing together' [2][10]. Group 1: Company Listings - The companies listing include: 1. **InSilico Medicine (03696.HK)**: An AI-driven drug discovery and development company, with a listing price of HKD 24.05 and issuing 9,469,050 shares, raising approximately HKD 2.277 billion. The company has secured cornerstone investments totaling USD 115 million from 15 investors including Eli Lilly, Tencent, and Temasek [3][11]. 2. **Wuyi Vision (06651.HK)**: A digital twin technology company based in Beijing, with a listing price of HKD 30.50 and issuing 2,397,520 shares, raising around HKD 731 million. It is noted for being the first in the digital twin industry to achieve over HKD 250 million in revenue within a year [3][5]. 3. **Wolan Robotics (06600.HK)**: The largest global provider of AI-driven home robotics systems, with a listing price between HKD 63.00 and HKD 81.00, issuing 2,222,230 shares, raising about HKD 1.8 billion. The company has received cornerstone investments of approximately USD 89.98 million [3][14]. 4. **Lin Qingxuan (02657.HK)**: A high-end domestic skincare brand focusing on anti-aging products, with a listing price of HKD 77.77 and issuing 1,396,645 shares, raising around HKD 1.086 billion. It ranks first among high-end domestic skincare brands in China by retail sales [3][15]. 5. **Xun Ce (03317.HK)**: A data infrastructure and analytics company, with a listing price between HKD 48.00 and HKD 55.00, issuing 2,250,000 shares, raising approximately HKD 1.238 billion. It ranks first in the real-time data infrastructure market for asset management in China [3][6]. 6. **Meilian Holdings (02671.HK)**: A provider of prefabricated steel structure construction services, with a listing price between HKD 7.10 and HKD 9.16, issuing 2,460,000 shares, raising around HKD 225 million. It ranks third in the prefabricated steel structure market in China [3][7]. Group 2: Market Insights - The listing of these companies reflects a growing trend in the Hong Kong market, showcasing advancements in technology and innovation across various sectors, including AI, digital twins, and high-end consumer goods [2][10].

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].

Core Viewpoint - The ancient Dujiangyan irrigation system, established over 2,000 years ago, is being modernized through digital technology to enhance water management and agricultural productivity in the Sichuan region [1][3]. Group 1: Historical Significance and Modernization - The Dujiangyan irrigation system, created by Li Bing in 256 BC, has historically provided reliable water supply, transforming the region into a fertile agricultural area [1]. - The system has been operational for 2,281 years, showcasing its longevity and effectiveness in water management [2]. Group 2: Technological Advancements - A digital twin system has been implemented, allowing real-time monitoring and management of water flow and irrigation operations, significantly reducing the time required for water management tasks from hours to minutes [2][3]. - The system integrates data from over 603,138 resources, enhancing decision-making and operational efficiency in water distribution [3]. Group 3: Agricultural Impact - The Dujiangyan irrigation area now covers 11.65 million acres, serving over 30 million people, with an annual water supply exceeding 10 billion cubic meters [3]. - Recent improvements have increased irrigated land by 3.08 million acres and added 14.3 million pounds of grain production [3]. Group 4: Future Developments - The modernization efforts are expected to add 220,000 acres of irrigated land and improve 3.35 million acres during the 14th Five-Year Plan period, further enhancing water security [4].

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 ...

Group 1: Core Insights - The military training has undergone significant transformations, evolving through various technical forms, emphasizing the importance of practical and rigorous training to enhance combat capabilities [2][3][4] - The military is focusing on real combat scenarios to improve training effectiveness, with historical references to past training methods that significantly boosted soldiers' combat skills [2][3] - The establishment of a new military training system is underway, integrating innovative training methods to adapt to modern warfare challenges, including joint operations and advanced technology [6][8][10] Group 2: Training Achievements - Recent military training has shown new results, with various military branches engaging in competitive exercises to enhance their operational readiness [4][6] - The military is actively implementing a comprehensive training oversight mechanism to ensure strict adherence to training standards and improve overall combat readiness [7][10] - The integration of technology in training, such as AI and advanced simulation tools, is enhancing the military's ability to prepare for future conflicts [10][11][12] Group 3: Future Directions - The future of military training is expected to focus on the integration of intelligent systems and information technology, creating a more dynamic and responsive training environment [11][12][13] - A collaborative training ecosystem is being developed, emphasizing the interaction between human and machine capabilities to optimize combat effectiveness [12][13] - The military aims to break down traditional barriers in training, fostering a comprehensive and adaptable training framework that can respond to diverse operational scenarios [13]

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 ...