（央链直播报道）2025 年 5 月 28 日，中国移动通信联合会人工智能与元宇宙产业工作委员会、中国通信工业协会区块链专业委员会、中国移动通信联合会 数字文化和智慧教育分会三大行业协会核心代表，在三机构秘书长何超与中国移联数智文教分会执行会长吴庆豹的带领下，时空旅程(长春)科技发展有限公 司总经理王屿夫陪同赴吉林省长春市开展专项考察。本次调研聚焦文创产业数字化转型的创新路径，以及青少年数字素养教育的实践成果，深入探索数字技 术与实体经济、教育场景的深度融合模式。 长春作为东北老工业基地转型的标杆城市，近年来依托科教资源优势与文化底蕴，在数字文创与教育科技领域形成独特竞争力。 长在@月高新技术产业开发 型号 长春市科普教育基地 吉林省科普教育基地 22-2025 2023-2027年) 长春市科学技术协会 出研资料学技术协会 时空流程 00 人工智能现代产业学院 6 最高大學 东方学院 实园基地 有关发 le 人工智能教育实践基地 大学新达学院计算机与信息科学学校 < 真 # 1 (长要) # 出来 # 有限公司 #12月中日 a 91445 Kean 吉林大学本科技学实践教学基施 0 SENGLE 《 本条 ...

作为第三届民航科教创新成果展期间的系列活动之一，"创新技术构建机场新未来"主题会议于2025年5 月27日下午召开。会议由中国民航报社有限公司主办，华为技术有限公司协办，来自首都机场集团、上 海机场集团、重庆机场集团、华为公司等国内10多家知名企业代表，围绕航空5G、AI大模型、数字孪 生等新技术、新应用在机场建设中的实践应用展开了主题演讲和深入研讨，引领全国机场行业培育新质 生产力，向着更安全、高效、环保的方向迈进。中豫航空集团的代表作了题为《数字赋能 流程重塑： 郑州机场货运转型升级之路》的主题发言，在近十分钟的介绍中，与会者或认真记录，或不时用手机拍 照，发言后，来自厦门等地的与会代表找到中豫航空集团专业人员作进一步的了解。 河南省航空货运发展有限公司的刘要南介绍说，过去国内机场货运的运营模式主要依赖人工操作和纸质 单据，效率低、误差率高、协同性差，郑州机场依托自身多年创新而成的集疏运体系，研发上线了多式 联运数据交易服务平台，2020年5月，郑州机场电子货运试点获得中国民航局正式批复，开始进行试点 建设、创新升级等一系列工作，初步解决了国内民航货运行业长期存在的重复填报、多头申报等痛点问 题，2023 ...

图片来源： SpAItial 从 OpenAI 的 4o 到 Stable Diffusion ，能够根据文本提示生成逼真图像的 AI 基础模型如今已比比皆 是。 相比之下，能够仅凭文本提示就生成完整、连贯的 3D 在线环境的基础模型才刚刚崭露头角。 不过，这些模型何时会普及只是时间问题。如今，欧洲最杰出的 AI 3D 模型研究者之一、慕尼黑工业 大学视觉计算与 AI 实验室的马蒂亚斯·尼斯纳（ Matthias Niessner ）已申请创业休假，创立了一家该 领域的初创公司： SpAItial 。 尼斯纳曾是 AI 虚拟形象公司 Synthesia （ 估值 21 亿美元 ）的联合创始人，此次他为这家欧洲初创 企业筹集了 1300 万美元的超大额种子轮融资。 目前尚未有人真正摸清对照片级真实感 3D 环境的市场需求规模。从数字孪生到增强现实，这个号称 " 万亿美元 " 的机遇足以让风投们兴奋，但其模糊性和多面性也使得市场进入策略难以厘清。 最显而易见的应用场景是电子游戏开发，不过这类模型还能应用于娱乐产业、建筑领域的 3D 可视 化，最终或将拓展至机器人训练等现实世界应用场景。 领投方是欧洲知名早期投资机 ...

Group 1 - The article highlights the transformation of China's logistics and automation industry, showcasing the advanced use of robots in sorting packages during the Double Eleven shopping festival [1][3] - The scene of robots charging in an orderly manner is described, emphasizing their efficiency and social-like behavior, which impressed visiting logistics experts [3] - A historical comparison is made, illustrating the shift from manual labor in warehouses to robotic automation, marking a significant evolution in the industry [5][6] Group 2 - The article discusses the challenges faced by Chinese manufacturers in the early 2000s, including high costs of imported robots and the dominance of foreign brands in the automation market [6][8] - It details the efforts of Chinese engineers and entrepreneurs who developed domestic automation solutions, leading to significant advancements in technology and cost reduction [8][10] - The introduction of competitive products, such as AGV carts and SCARA robots, allowed Chinese companies to capture market share in lower-end segments and gradually move into higher precision manufacturing [12][14] Group 3 - By 2013, China became the largest industrial robot market, although foreign brands still held a significant market share, prompting local companies to adopt strategies to penetrate the market [12][14] - The article notes the rapid growth of the Chinese automation industry, with a notable increase in domestic robot sales and a rise in the localization rate of components [19] - The success of Chinese automation products is highlighted, with examples of their application in various industries, showcasing their competitiveness on a global scale [21][23]

Core Insights - The integration of AI in manufacturing is transforming traditional production methods into flexible and efficient systems, exemplified by the "future factory" concept in Shanghai [1][9] - AI is enabling significant improvements in production efficiency, cost savings, and operational flexibility across various sectors, including heavy equipment, dairy, industrial software, and supply chain management [2][4][5][8] Group 1: Heavy Equipment Transformation - The Shanghai Electric Power Station Turbine Factory has enhanced its production efficiency by over 30% through digitalization, allowing for real-time adjustments and optimal processing paths [2] - The factory has reduced waiting times in production processes by 43% by utilizing a "digital twin" model that integrates equipment parameters and production data [2][3] Group 2: Dairy Industry Innovations - Bright Dairy has implemented AI across its entire supply chain, improving feed efficiency by 12% and reducing energy consumption by 9% through optimized temperature control [4] - The AI system allows for real-time tracking of milk from farm to shelf, enhancing operational efficiency and cost savings [4] Group 3: Industrial Software Advancements - AI tools are streamlining processes for small and medium-sized factories, reducing preparation time for non-standard orders by 60% [5][7] - The use of AI-generated code for manufacturing execution systems has significantly shortened customization timelines from months to days [7] Group 4: Supply Chain Optimization - AI is enhancing the resilience of supply chains by quickly matching orders with production capabilities, achieving a 98.7% order fulfillment rate even during disruptions [8] - The platform's transaction volume is projected to reach 22.6 billion yuan in 2024, with over 40% of orders driven by AI across industries [8] Group 5: Overall Industry Impact - The shift from standardized mass production to personalized and precise services marks a historical transition in industrial civilization, driven by AI's capabilities [9] - The practices in Shanghai serve as a model for global manufacturing transformation, showcasing China's innovative approach to integrating AI in production [9]

Group 1 - The core viewpoint of the article highlights the significant transformation and digitalization occurring within the aluminum industry, particularly showcased at the Binzhou Aluminum Expo [3][13] - The 2025 Binzhou Aluminum Expo, held from September 11-13, featured over 500 exhibitors and covered an exhibition area of 25,000 square meters, serving as a key platform for observing the intelligent transformation of the aluminum industry [3][13] - The expo demonstrated a shift from traditional manufacturing to intelligent manufacturing, emphasizing the integration of digital technologies in the aluminum production process [3][11] Group 2 - The Binzhou Aluminum Expo is positioned as a "testbed for industry intelligence," driven by technological iteration and practical application across the aluminum industry [3][7] - The event showcased a complete chain from raw materials to research and development, manufacturing, and testing, highlighting the digital linkage from material design to finished product manufacturing [7] - Discussions on the construction of digital twin systems for the aluminum industry were held, promoting the application of virtual simulation technology in production line planning [7][11] Group 3 - The expo facilitated a collaborative ecosystem between emerging companies and industry leaders, creating a "dual matrix of intelligent manufacturing" that fosters innovation [11] - The collaboration led to the development of an "aluminum processing technology knowledge base," which utilizes machine learning to integrate production data and significantly shorten new product development cycles [11] - The event underscored the necessity of intelligent transformation in the aluminum industry, marking it as an inevitable trend integrated into every production phase [13]

Group 1: Core Insights - Humanoid robots can drive smarter automation, reduce costs, and enhance human labor productivity, but improper investment questions can lead to high costs and counterproductive outcomes [1][4] - The rapid development of general-purpose humanoid robots, driven by advancements in generative AI, mechatronics, and simulation technology, may reshape labor dynamics across various industries [3][4] - The cost of manufacturing humanoid robots has decreased by 40% in recent years, with projections indicating a drop from approximately $58,000 to $20,000 per robot by 2032 [4] Group 2: Investment Considerations - Companies must evaluate the specific roles humanoid robots can play in their operations, focusing on areas where they can outperform traditional industrial robots and create greater value [6] - A comprehensive cost-benefit analysis is essential for humanoid robot investments, considering both direct and indirect costs, with Robot as a Service (RaaS) offering a more cost-effective entry point [12] Group 3: Application Areas - Humanoid robots have proven valuable in manufacturing and warehousing, addressing labor shortages and performing hazardous tasks, with 58% of large factory managers believing they will become a cost-effective assembly standard by 2040 [7] - In healthcare, humanoid robots can assist with daily tasks for the elderly and those with special needs, demonstrating positive outcomes in social interaction and communication skills for children with autism [9] - In customer service, humanoid robots are increasingly being adopted in retail and hospitality sectors, particularly for tasks that are monotonous, dangerous, or repetitive [10] Group 4: Integration and Collaboration - Effective integration of humanoid robots into existing processes requires a focus on optimizing broader organizational workflows rather than isolated tasks [13] - Ensuring safe collaboration between personnel and humanoid robots is crucial, necessitating a culture of human-robot collaboration and adherence to safety best practices [14][15] Group 5: Future Outlook - The future of work is evolving with humanoid robots becoming integral to the workforce, offering new growth opportunities, efficiency improvements, and enhanced innovation capabilities [17]

我国江河水系众多，保护治理是一个庞大复杂的系统工程，必须坚持数字赋能，依托现代信息技术变革 治理理念和治理手段。近年来，数字技术的深度应用显著提升了长江流域的管理效率，推动了生态环境 改善与资源优化配置。 数字技术应用在长江流域综合治理中取得积极成效 数据共享存在障碍。流域内水利、水电、航运、生态等涉水行业的海量数据来源广泛、格式多样，数据 整合难度较大，难以形成统一的数据标准和规范，阻碍了跨部门数据的深度分析与应用。受部门利益、 数据安全等因素影响，部分单位对数据共享积极性不高，存在 "数据孤岛"现象。一些关键数据仅在本 部门内部流通，未能实现跨区域、跨部门的高效共享，使得数字技术在协同治理中的优势无法充分发 挥，降低了综合治理效率。 数字技术应用深度不足。目前长江流域综合治理中应用的数字技术，如高端遥感图像处理算法、高精度 水文模型、复杂生态系统模拟软件等，核心技术多依赖国外引进；多技术融合应用不够深入，多以单项 技术为主，如单纯利用物联网进行水质监测，或仅依靠卫星遥感获取地理信息，缺乏多种数字技术的深 度融合与协同应用。航运管理领域的智能调度系统，与区块链技术、5G 通信的结合仍处于初级阶段， 无法充分 ...

6月会议预告 2025高工钠电 产业峰会 主办单位： 高工钠电、高工产业研究院（GGII） 总冠名： 众钠能源 会议时间： 6月9日 会议地点： 苏州香格里拉大酒店（苏州虎丘区塔园路168号） 2025高工固态电池 技术与应用峰会 主办单位： 高工锂电、高工储能、高工产业研究院（GGII） 总冠名： 利元亨 会议时间： 6月10日 会议地点： 苏州香格里拉大酒店（苏州虎丘区塔园路168号） 锂电行业正面临深刻技术变革，集中表现在需求侧性能迭代加快，规模化降本要求日益严苛。 这很大程度上都对电芯设备产线提出新的改进要求，在电芯制造过程，如涂布、卷绕等核心环节，其生产的稳定性、一致性直接影响电芯的性能表现。 与此同时，在生产效率上， AI 大模型、数字孪生等技术创新驱动下，制造业正加速向"极限制造"目标迈进——即以"极限成本、极限良率、极限产能及 极限节能减排"为核心，推动生产模式从经验驱动向数据驱动的深度转型。 5 月 15 日，高工锂电 "云看展" 系列——技术跃迁：下一代电池智造升级解决方案 ，带领观众走进 高能数造、思客琦、华视集团、逸飞激光、大族锂 电、瑞能股份 等企业，探究智能装备企业如何通过多链路创 ...

Core Insights - The 21st China (Shenzhen) International Cultural Industries Fair showcases the integration of culture and technology, highlighting Hunan's cultural heritage and innovative practices [1][3][5] Group 1: Event Overview - The event runs from May 22 to May 26, featuring Hunan's exhibition themed "Huxiang Culture and Sci-tech Future" [1] - The exhibition includes various sections such as the main image area, comprehensive exhibition of cultural and technological integration, and a special area for audio-visual industries [1] Group 2: Technological Innovations - Wanxing Technology launched the Wanxing Miaoying Hongmeng version, a video editing software that offers over 20 features optimized for Huawei's HarmonyOS [1][9] - The Ma Lan Mountain Audio-Video Laboratory presented eight proprietary audio-visual technologies, including a dual-lens AI live streaming camera and a wireless sound system that enhances home audio experiences [7][9] Group 3: Cultural Exhibits - The Hunan Broadcasting System showcased a digital restoration of cultural relics, integrating technology with storytelling to present the history behind artifacts [3][5] - Interactive digital display cabinets developed by Hunan Museum and Hongrui Cultural Heritage Group allow visitors to engage with artifacts, providing historical context and narratives [5] Group 4: Future Prospects - The Ma Lan Mountain Micro Short Drama Intelligent Translation Center aims to produce over 10,000 high-quality translated micro short dramas by 2025, utilizing advanced AI translation tools [9]