Group 1 - The National University of Defense Technology's maglev team achieved a world record by accelerating a ton-level test vehicle to 700 kilometers per hour within two seconds, marking the fastest superconducting electric maglev test speed globally [1] - This breakthrough overcame core technical challenges in ultra-high-speed electromagnetic propulsion, electric suspension guidance, transient high-power energy storage inversion, and high-field superconducting magnets, positioning China as a leader in the ultra-high-speed maglev field [3] - The successful test provides new options for the future development of vacuum tube maglev transportation in China and offers new methods for aerospace launch and testing [3] Group 2 - In the first eleven months of 2025, the sales revenue of digital technology applications, primarily driven by AI models, big data, and IoT, increased by 14.3%, with internet-related services and IT services both maintaining over 15% growth [5] - There has been a significant increase in industrial digitalization investments, with procurement of digital technologies in automotive manufacturing, general equipment manufacturing, and computer communication and other electronic equipment manufacturing rising by 25.5%, 19.7%, and 13.3% respectively [8] - The sales revenue driven by digital factors grew by 6.3% in the first eleven months of 2025, with internet platforms related to new business models like food delivery and ride-hailing seeing a 16.2% increase, and internet retail and supply chain management services maintaining double-digit growth [10]

新华社北京12月25日电（记者刘开雄）国家税务总局12月25日发布数据显示，今年以来，我国数实 融合保持快速发展态势，数字产业化水平明显提升，产业数字化投入力度较大，数据要素驱动效应持续 显现。 在产业数字化转型方面，企业投入力度持续加大。增值税发票数据显示，今年前11个月，反映制造 业数字化投入情况的全国制造业企业采购数字技术金额同比增长11.2%。其中，汽车制造、通用设备制 造、计算机通信和其他电子设备制造等装备制造业采购数字技术金额同比分别增长25.5%、19.7%和 13.3%。 数据要素驱动新业态蓬勃发展。增值税发票数据显示，今年前11个月，数字要素驱动业销售收入同 比增长6.3%。其中，涵盖网络货运、外卖配送、网约车等生产生活新业态的互联网平台销售收入同比 增长16.2%；涵盖直播电商、即时零售等在内的互联网零售、供应链管理服务销售收入同比分别增长 11.9%和24.7%。 【纠错】 【责任编辑:施歌】 数字产业化水平显著提高。增值税发票数据显示，今年前11个月，数字经济核心产业销售收入同比 增长10%，明显快于全国企业总体增速。其中，智能设备制造、电子元器件及设备制造等智能制造业销 售收入同比分 ...

——产业数字化转型投入力度加大。增值税发票数据显示，今年前11个月，反映制造业数字化投入情况 的全国制造业企业采购数字技术金额同比增长11.2%。其中，汽车制造、通用设备制造、计算机通信和 其他电子设备制造等装备制造业采购数字技术金额同比分别增长25.5%、19.7%和13.3%。 ——数据要素驱动新业态蓬勃发展。增值税发票数据显示，今年前11个月，数字要素驱动业销售收入同 比增长6.3%。其中，涵盖网络货运、外卖配送、网约车等生产生活新业态的互联网平台销售收入同比 增长16.2%；涵盖直播电商、即时零售等在内的互联网零售、供应链管理服务销售收入同比分别增长 11.9%和24.7%。 今年前11个月，数字经济核心产业销售收入同比增长10%，明显快于全国企业总体增速。 数据显示，今年以来，我国数实融合保持快速发展态势，数字产业化水平明显提升，产业数字化投入力 度较大，数据要素驱动效应持续显现，为经济高质量发展注入强劲动力。 ——数字产业化水平明显提升。增值税发票数据显示，今年前11个月，数字经济核心产业销售收入同比 增长10%，明显快于全国企业总体增速。其中，智能设备制造、电子元器件及设备制造等智能制造业销 售 ...

Core Insights - The "Digital Risk Control Project" won the second prize in the national finals of the 2025 "Data Element ×" competition, showcasing a significant achievement among 22,000 participating projects [1] - The competition aims to promote the marketization of data elements and the deep integration of data with industries, with a focus on various sectors including financial services [1] Group 1: Project Overview - The "Digital Risk Control Project" addresses industry pain points such as data integration, circulation, and application difficulties, establishing the first "data-risk-ecosystem" digital risk control system in the insurance sector [2] - The project utilizes a robust data foundation from Ping An Group, creating a comprehensive database covering ten high-quality data categories, with a total data volume exceeding PB level [2] - It integrates over 370 authoritative data sources, achieving a compliance data fusion model and a claims knowledge engineering system, with data standards reaching DCMM level five [2] Group 2: Technological Innovations - The project has developed a large model and knowledge engineering system for the insurance domain, utilizing trillions of insurance corpus and hundreds of millions of claims data to create an interpretable knowledge graph and intelligent reasoning chain [2] - The automation rate of knowledge has reached 70%, while the data knowledge rate stands at 50%, significantly enhancing risk identification accuracy and control efficiency [2] - The model has been implemented in scenarios such as claims risk control, risk pricing, and fraud detection, benefiting over 20 insurance institutions and generating economic and social benefits exceeding 10 billion [2] Group 3: Company Strengths - Ping An Group's technological innovation and ecological collaboration are highlighted through this award, reflecting its systemic strength in driving intelligent financial development with data elements [3] - The company has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has trained large models based on this vast data [3] - AI has been fully integrated into Ping An's core business, achieving a 63% automation rate in personal injury claims and processing car insurance applications in an average of one minute [3] Group 4: Future Directions - Financial One Account will continue to act as a technology output window, collaborating with the Ping An ecosystem and the industry to explore new intelligent financial models driven by data elements [4] - The aim is to contribute to the high-quality development of the financial industry, support the real economy, enhance financial risk prevention capabilities, and promote new productive forces [4]

中新社上海11月20日电 (记者 王笈)第六届长三角国际文化产业博览会(以下简称"长三角文博会")20 日在国家会展中心(上海)拉开帷幕，汇聚逾1500家参展单位，展现"文化赋能"的缤纷图景。 11月20日，第六届长三角国际文化产业博览会在国家会展中心(上海)开幕。中新社记者 王笈 摄 "戏剧便利店"将沪上"演艺大世界"的浓厚演艺氛围带入展馆，汇集"大有座位"等众多剧院文创，邀 请《轮盘》等热门剧目演员担任"一日店长"，在特色展示与趣味互动中，传递"戏不落幕、光照生活"的 温情与乐趣。 "苏超"(江苏省城市足球联赛)IP成为焦点，十三太保家族盲盒、以球会友折扇、苏超紫砂壶等文创 产品令观众目不暇接。现场工作人员告诉记者，"苏超"的"泼天流量"转化为消费增量，带动了周边文创 销售；传统非遗与"苏超"元素的结合，也让古老技艺得以"破圈"，引起年轻一代的兴趣。 值得关注的是，本届长三角文博会有超过30个沉浸式项目亮相。如浙江展区的VR大空间项目《司 天勇士》，将中国传统天文学科普与LBE技术相结合，让体验者"穿越"至北宋，参与拯救"水运仪象 台"。文化与科技的融合，让历史叙事变得可触可感，开辟出新的文化消费场景，成 ...

中新社上海11月20日电 (记者王笈)第六届长三角国际文化产业博览会(以下简称"长三角文博会")20日在 国家会展中心(上海)拉开帷幕，汇聚逾1500家参展单位，展现"文化赋能"的缤纷图景。 本届长三角文博会以"文化赋能经济社会发展，激发文化产业创新创造活力"为主题，构建起一个充满活 力的文化生态系统。 11月20日，第六届长三角国际文化产业博览会在国家会展中心(上海)开幕。上海黄浦展团创新设立"戏 剧便利店"。中新社记者王笈摄 "戏剧便利店"将沪上"演艺大世界"的浓厚演艺氛围带入展馆，汇集"大有座位"等众多剧院文创，邀请 《轮盘》等热门剧目演员担任"一日店长"，在特色展示与趣味互动中，传递"戏不落幕、光照生活"的温 情与乐趣。 "苏超"(江苏省城市足球联赛)IP成为焦点，十三太保家族盲盒、以球会友折扇、苏超紫砂壶等文创产品 令观众目不暇接。现场工作人员告诉记者，"苏超"的"泼天流量"转化为消费增量，带动了周边文创销 售；传统非遗与"苏超"元素的结合，也让古老技艺得以"破圈"，引起年轻一代的兴趣。 11月20日，第六届长三角国际文化产业博览会在国家会展中心(上海)开幕。中新社记者王笈摄 长三角地区正以数字经济 ...

Core Insights - The "Digital Risk Control Project" won the second prize in the national finals of the 2025 "Data Element ×" competition, showcasing a significant achievement among 22,000 participating projects [1] - The competition aims to promote the marketization of data elements and the deep integration of data with industries, featuring 13 industry tracks including financial services [1] Group 1: Project Overview - The "Digital Risk Control Project" addresses industry pain points such as data integration, circulation, and application difficulties, establishing the first "data-risk-ecosystem" digital risk control system in the insurance sector [2] - The project utilizes a robust data foundation and distributed computing capabilities from Ping An Group, creating a comprehensive database covering ten high-quality data categories, with a total data volume exceeding PB level [2] - It integrates over 370 authoritative data sources, forming the first compliance data fusion model and claims knowledge engineering system in the industry, achieving a data standard at DCMM level five [2] Group 2: Technological Innovations - The project has developed a large model and knowledge engineering system for the insurance domain, utilizing trillions of insurance corpus and hundreds of millions of claims data to create an interpretable knowledge graph and intelligent reasoning chain [2] - The automation rate of knowledge has reached 70%, while the data knowledge rate stands at 50%, significantly enhancing risk identification accuracy and control efficiency [2] - The project has empowered over 20 insurance institutions through an inclusive financial open platform, generating economic and social benefits exceeding 10 billion [2] Group 3: Company Strengths - Ping An Group's technology innovation and ecological collaboration are highlighted by this award, reflecting its systemic strength in driving intelligent financial development through data elements [3] - The company has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has trained large models based on vast data resources [3] - AI has been fully integrated into Ping An's core business, with 89% of car insurance policies being issued in an average of one minute, and the automation rate for personal injury claims reaching 63% [3] Group 4: Future Directions - Financial One Account will continue to act as a technology output window, collaborating with the Ping An ecosystem and the industry to explore new intelligent financial models driven by data elements [4] - The aim is to contribute to the high-quality development of the financial industry, support the real economy, enhance financial risk prevention capabilities, and promote new productive forces [4]

Core Insights - The "Digital Risk Control Project" won the second prize in the national finals of the 2025 "Data Element ×" competition, showcasing a significant achievement for the project among 22,000 entries nationwide [1] - The competition aims to promote the marketization of data elements and the deep integration of data with industries, featuring 13 industry tracks including financial services [1] Group 1: Project Overview - The "Digital Risk Control Project" addresses key industry pain points such as data integration, circulation, and application difficulties, establishing the first "data-risk-ecosystem" digital risk control system in the industry [2] - The project leverages Ping An Group's robust data foundation and distributed computing capabilities, creating a comprehensive database covering ten high-quality data categories, with total data volume exceeding PB level [2] Group 2: Technological Capabilities - The project integrates over 370 authoritative data sources, forming the industry's first compliant data fusion model and claims knowledge engineering system, achieving a data standard at DCMM level five [2] - Ping An has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has trained large models based on massive datasets [2] Group 3: AI Integration and Impact - AI has been fully integrated into Ping An's core business, with 89% of car insurance policies being issued in an average of one minute, and the automation rate for personal injury claims reaching 63% [2] - In the first three quarters of 2025, AI service volume exceeded 1.292 billion instances, covering 80% of the group's total customer service volume, and AI-assisted sales amounted to 99.074 billion yuan, enhancing customer experience and operational efficiency [2] Group 4: Future Directions - Financial One Account will continue to act as a technology output window, collaborating with the Ping An ecosystem and the industry to explore new models of intelligent finance driven by data elements, contributing to high-quality development in the financial sector [3]

Core Insights - The National Bureau of Statistics has initiated a pilot program for high-quality data set construction to support the "Artificial Intelligence +" action plan, identifying 140 pilot units across 25 provinces in China [1][2] - High-quality data sets are deemed a strategic resource in the AI era, crucial for enhancing the resilience of supply chains in key sectors such as finance, energy, and transportation [2][3] - The construction of high-quality data sets is expected to grow by 27.4% year-on-year in 2024, significantly supporting AI training and applications [2] Group 1: Pilot Program and Implementation - The pilot program focuses on four key tasks: testing technology, support, standards, and mechanisms, with ongoing monitoring and evaluation of project progress [1] - The program covers 18 key sectors, including scientific research, industrial manufacturing, agriculture, smart energy, transportation, financial services, healthcare, education, business, cultural tourism, emergency management, and meteorological services [1] Group 2: Market Impact and Opportunities - The pilot program aims to create a market environment that values high-quality data, facilitating the transformation of data from a resource to an asset [2] - Companies selected for the pilot program, such as Zhengtong Co. and Hengsheng Electronics, are exploring deep data resource integration, enhancing their digital leadership in the financial sector [2] Group 3: Regulatory and Financial Implications - High-quality data sets help reduce information asymmetry, enabling investors and financial institutions to better assess the technological leadership and commercialization potential of companies [3] - These data sets provide regulatory bodies with tools for real-time monitoring and compliance, enhancing regulatory efficiency while balancing data sharing and privacy protection [3] - The development of high-quality data sets is seen as a cornerstone for fair and transparent capital markets, driving the digital transformation of the financial industry [3]

Core Viewpoint - Guangzhou Kingmed Diagnostics Group Co., Ltd. reported a net loss of 85 million yuan in the first half of 2025, despite achieving an operating income of 2.997 billion yuan and a significant increase in operating cash flow by 920% year-on-year to 350 million yuan [1] Group 1: Financial Performance - The company experienced a net profit loss of 85 million yuan due to credit impairment losses of 272 million yuan [1] - Operating cash flow improved significantly, reaching 350 million yuan, marking a year-on-year growth of 920% [1] Group 2: Market Position and Collaborations - The revenue proportion from tertiary hospitals increased to 51.18%, up by 5.43 percentage points year-on-year [2] - Kingmed has established partnerships with over 210 hospitals, universities, and research institutions, including collaborations with top-tier hospitals for multi-center research and laboratory construction [2] Group 3: AI and Technological Advancements - The company launched the "AI IN ALL" initiative, developing 55 intelligent applications to enhance business processes [3] - AI-assisted diagnostics were utilized 2.2 million times in laboratories, improving efficiency, particularly with a 70% increase in report issuance efficiency for tumor molecular reporting systems [3] Group 4: Data and Compliance Initiatives - Kingmed accumulated over 3 billion medical testing data and successfully launched 21 data products on data exchanges in major cities [4] - The company was selected as the only medical institution in the first batch of national trusted data space innovation development pilots, facilitating compliant data circulation and exploring new data flow possibilities [4]