董事长陈友被实施留置 A股又现上市公司董事长被实施留置，这次是市值近百亿元的天源迪科。 12月9日晚间，深圳上市公司天源迪科（SZ300047，股价14.43元，市值92.03亿元）突发重大事项公告称，公司近日收到由江西省景德镇乐平市监察委员 会签发的《留置通知书》，公司董事长陈友被实施留置。 陈友 图片来源：天源迪科家园公众号 天源迪科方面表示，公司尚未知悉上述事项的进展及结论。公司将持续关注后续进展，对相关工作进行妥善安排，并按照有关法律、法规的规定和要求， 及时履行信息披露义务。 《每日经济新闻》记者注意到，陈友今年61岁，1986年毕业于武汉大学计算机系，1989年取得中国科技大学计算机系硕士学位。他自2001年4月起便担任 深圳天源迪科计算机有限公司（天源迪科前身）董事长、总经理，是天源迪科主要发起人之一。 耐人寻味的还有，记者从中央纪委国家监委网站获悉，今年8月，中国电信云南分公司原党组书记、总经理苗逢源涉嫌严重违纪违法，正接受纪律审查和 监察调查。据了解，苗逢源从中国电信云南分公司离职后，于2018年加入天源迪科，担任总经理、董事等职，并于2023年3月离职。 据《深圳晚报》报道，陈友生于安徽枞 ...

Core Insights - The establishment of the first national AI application pilot base for mobile terminals reflects a strong trend towards accelerating the industrialization of AI technology across various regions in China [1] - The "AI+" initiative aims to create a network of application pilot bases that serve as connectors for industry chain collaboration, accelerators for technology transfer, and incubators for high-quality applications [2] Group 1: Application Pilot Bases - Multiple application pilot bases have been initiated in key sectors such as manufacturing, healthcare, and transportation, with specific bases focusing on addressing common challenges in R&D and manufacturing capabilities [2] - The Shanghai pilot base in the manufacturing sector aims to tackle issues like insufficient intelligent R&D capabilities and the need for improved precision in complex manufacturing [2] - The transportation sector has seen the launch of three pilot bases in Qingdao, Mianyang, and Xiamen, focusing on smart ports, urban logistics, and international logistics supply chains [2] Group 2: Policy Support and Local Initiatives - Local governments are actively incorporating pilot platform construction into their development plans, with several regions outlining specific initiatives in their 14th Five-Year Plans [3] - Zhejiang and Shandong provinces have proposed the establishment of AI application pilot bases in healthcare and core technology areas, respectively, to promote innovation and development [3] Group 3: Participation of Innovative Entities - Various innovative entities, including listed companies, are actively participating in the construction and operation of application pilot bases, leveraging their technological and financial advantages [4] - iFlytek Medical Technology has won a bid worth 428 million yuan for a software service project at the healthcare pilot base, while Guangdian Yuntong has secured contracts totaling 308 million yuan for hardware and software projects [4] Group 4: Progress in Results Transformation - The establishment of application pilot bases has led to significant advancements in the efficient transformation of innovative results, particularly in the financial and healthcare sectors [7] - China UnionPay is advancing the construction of a national AI application pilot base in finance, focusing on developing a comprehensive support capability for "AI+Finance" applications [7] - In healthcare, a collaboration with Beijing Anzhen Hospital has resulted in the release of a large model for ultrasound diagnosis, enhancing the accuracy and efficiency of cardiovascular disease diagnosis [7] Group 5: Importance of Scene Cultivation - Accelerating scene cultivation and openness is crucial for the social testing of new technologies, with a focus on identifying key sub-industries and scenarios for the implementation of "AI+" [8] - The integration of technologies like large models and intelligent agents with consumer electronics and medical devices is expected to facilitate widespread adoption across various sectors [8]

Group 1 - The establishment of the first national AI application pilot base for mobile terminals reflects a strong trend towards accelerating the industrialization of AI technology across various regions [1] - The pilot base aims to assist enterprises in achieving digital and intelligent upgrades from research and development to production [1][2] - Various local governments are actively promoting the construction of application pilot bases in key sectors such as manufacturing, healthcare, and transportation [1][2] Group 2 - The national AI application pilot bases serve as important links for technological innovation and results transformation, connecting scientific research with industrial demonstration and mass production [1][2] - Specific pilot bases have been initiated in manufacturing in Shanghai and in transportation in cities like Qingdao, Mianyang, and Xiamen, focusing on common challenges in these sectors [1][2] Group 3 - Despite advancements in AI technology, challenges remain in the deep integration of technology and industry, such as the mismatch between industry needs and available technologies [2] - The "AI+" initiative aims to create a network of pilot bases that act as connectors, accelerators, and incubators for technological results and quality applications [2] Group 4 - Listed companies are leveraging their technological and financial advantages to participate in pilot base projects, with notable contracts awarded, such as iFlytek's 428 million yuan project in healthcare [3] - The policy environment is increasingly supportive of private enterprises in building significant pilot platforms, as outlined in recent measures to promote private investment [3][4] Group 5 - The establishment of pilot bases has already shown positive results in the efficient transformation of innovative outcomes, particularly in the financial and healthcare sectors [4] - For instance, the China UnionPay is advancing its AI application pilot base in finance, focusing on building comprehensive support capabilities for industry-wide applications [4] Group 6 - The ongoing development of application pilot bases is expected to enhance resource aggregation and collaborative empowerment, providing stronger support for AI companies and research institutions [5][6] - Identifying key industries and scenarios for the implementation of "AI+" is crucial for the successful integration of new technologies into everyday applications [6]

耐人寻味的还有，记者从中央纪委国家监委网站获悉，今年8月，中国电信云南分公司原党组书记、总经理苗逢源涉嫌严重违纪违法，正接受纪律审查和 监察调查。据了解，苗逢源从中国电信云南分公司离职后，于2018年加入天源迪科，担任总经理、董事等职，并于2023年3月离职。 登录新浪财经APP 搜索【信披】查看更多考评等级 A股又现上市公司董事长被实施留置，这次是市值近百亿元的天源迪科。 12月9日晚间，深圳上市公司天源迪科（SZ300047，股价14.43元，市值92.03亿元）突发重大事项公告称，公司近日收到由江西省景德镇乐平市监察委员 会签发的《留置通知书》，公司董事长陈友被实施留置。 天源迪科方面表示，公司尚未知悉上述事项的进展及结论。公司将持续关注后续进展，对相关工作进行妥善安排，并按照有关法律、法规的规定和要求， 及时履行信息披露义务。 《每日经济新闻》记者注意到，陈友今年61岁，1986年毕业于武汉大学计算机系，1989年取得中国科技大学计算机系硕士学位。他自2001年4月起便担任 深圳天源迪科计算机有限公司（天源迪科前身）董事长、总经理，是天源迪科主要发起人之一。 公司前总经理数月前被查 董事长陈友被实施留 ...

Core Viewpoint - The forum highlighted the role of China Unicom as a strategic partner in communication services, showcasing its commitment to industry upgrades through innovative platforms and security solutions [1] Group 1: Innovations and Platforms - China Unicom launched the Guangdong Computing Network Collaborative Service Platform, which utilizes joint research technology to enhance resource circulation across various sectors [1] - The platform features four main functions: industry policy window, computing power identification management, supply-demand market connection, and a diversified product matrix [1] Group 2: Security Innovations - The company announced six innovative achievements from its network security base, including the development of a defense system and a data security governance framework [1] - Additional accomplishments include establishing a national-level intellectual property operation center and advancing a talent training system [1] Group 3: Regional Focus - China Unicom introduced a series of innovative outcomes tailored to the needs of the Greater Bay Area, emphasizing a "technology + scenario" dual-driven approach to enhance the region's digital industry ecosystem [1]

Core Points - The Tianhong CSI Hong Kong Stock Connect Central State-Owned Enterprises Dividend ETF (159281) closed down 1.75% on December 9, with a trading volume of 31.35 million yuan [1] - The fund was established on August 20, 2025, with an annual management fee of 0.50% and a custody fee of 0.10% [1] - As of December 8, the fund's total shares were 307 million, with a total size of 315 million yuan [1] - Over the past 20 trading days, the fund's cumulative trading amount reached 793 million yuan, with an average daily trading amount of 39.65 million yuan [1] - The current fund manager is He Yuxuan, who has managed the fund since its inception, achieving a return of 4.01% during the tenure [1] Holdings Summary - The top holdings of the Tianhong CSI Hong Kong Stock Connect Central State-Owned Enterprises Dividend ETF include: - COSCO Shipping Holdings (0.85% holding, 218,000 shares, market value of 2.9175 million yuan) [2] - Orient Overseas International (0.40% holding, 10,500 shares, market value of 1.3717 million yuan) [2] - China Foreign Transport (0.33% holding, 270,000 shares, market value of 1.1396 million yuan) [2] - China National Petroleum (0.32% holding, 162,000 shares, market value of 1.0973 million yuan) [2] - CITIC Bank (0.32% holding, 175,000 shares, market value of 1.1136 million yuan) [2] - CNOOC (0.29% holding, 58,000 shares, market value of 1.0041 million yuan) [2] - China Shenhua Energy (0.29% holding, 30,500 shares, market value of 982,600 yuan) [2] - China People's Insurance Group (0.29% holding, 164,000 shares, market value of 1.0107 million yuan) [2] - China Unicom (0.28% holding, 104,000 shares, market value of 952,800 yuan) [2] - Agricultural Bank of China (0.27% holding, 189,000 shares, market value of 933,900 yuan) [2]

Central Dynamics - The "15th Five-Year Plan" proposal was released, aiming to improve the policy mechanism for the coordinated development of the elderly care cause and industry, optimize the supply of basic elderly care services, and promote the development of the silver economy [5] Ministry Dynamics - Four ministries including the Ministry of Industry and Information Technology jointly launched the 2025 "Filial Piety and Elderly Love Shopping Season" from October 21 to November 20, with six key tasks and various incentives [6] - Twenty-two departments including the Ministry of Civil Affairs jointly issued the "Guiding Opinions on In-depth Implementation of National Education on Population Aging", requiring the construction of an online platform [6][7] Local Progress - The 19th China Disabled Persons' Cause Development Forum was held in Nanjing, focusing on improving the quality of public services for the disabled [7] - The 11th Beijing International Senior Industry Expo was held with the theme of "Wisely Enjoying the Silver Age and Nurturing Everywhere", covering six core areas and featuring various activities [9][10] - The Shanxi Provincial Communications Administration launched a service upgrade action, including creating a "Smart Elderly Assistance Station" and optimizing network services [12] Enterprise and Social Group Actions - The 2025 National "Elderly Respect Month" activities will be held from October 10 to 31, including various activities such as opening up elderly care institutions and promoting silver tourism [14] - China Unicom and "Sunshine Sister" jointly explored a new path for "Smart Health Care", with a three - dimensional service network and significant achievements [16] - JD launched the 2025 Warm Sun Action, announcing four measures to optimize the home - based elderly care full - scenario solution and promote the construction of aging - friendly standards [17][18] - The 2025 vivo Developers Conference was held, releasing new systems and upgrading information accessibility functions with AI technology [18]

Report Industry Investment Rating No relevant content provided. Core Views of the Report - The report focuses on the empowerment of intelligent computing centers, elaborating on the latest development trends around demand scenarios, key capabilities, and implementation ecosystems to further release the empowerment effect of intelligent computing centers and promote the deep integration of AI and the real economy [5]. - Facing the "14th Five-Year Plan", the artificial intelligence computing infrastructure has three important development trends: clear demand scenarios for optimal resource allocation, focused key capabilities for improved service levels, and aggregated implementation ecosystems for accelerated value release [24]. - In the future, the demand scenarios of artificial intelligence computing infrastructure will become more diverse and complex, key capabilities will be more intensive and soft, and the implementation ecosystem will be more aggregated and collaborative [75]. Summary by Directory 1. Evolution Trend of Artificial Intelligence Computing Infrastructure - **Technological Innovation: Upgrading of Tri - in - One Intelligent Computing Facilities**: China's artificial intelligence computing infrastructure is evolving towards large - scale clustering, green and low - carbon development, and high - speed interconnection. For example, Huawei's Ascend 384 super - node and ZTE's Nebula intelligent computing super - node achieve high - speed interconnection of computing cards; the liquid - cooling technology in the China Mobile data center reduces energy consumption [12][13][14]. - **Layout Optimization: Coordinated Development of National Intelligent Computing Facilities**: Policy guidance promotes the high - quality development of intelligent computing centers. The scale of intelligent computing centers continues to grow, and regional intelligent computing is deployed in a more coordinated and intensive manner. For instance, as of June 2025, the total rack scale of computing centers in use in China reaches 1.085 million standard racks, and the intelligent computing scale is 788 EFlops [16][17]. - **Industrial Upgrade: Collaborative Development of the Entire Intelligent Computing Industry Chain**: The intelligent computing industry is growing rapidly, with upstream hardware achieving domestic breakthroughs, mid - stream facilities being built on a large scale, and downstream applications accelerating penetration into various industries. Three major operators and AI giants are actively deploying intelligent computing [18][19][20]. 2. Important Trends in the Empowerment of Artificial Intelligence Computing Infrastructure - **Clearer Demand Scenarios for Optimal Allocation of Intelligent Computing Resources**: The positioning of demand scenarios is becoming clearer, promoting the precise empowerment of intelligent computing centers. The construction of artificial intelligence computing infrastructure is shifting from "building well" to "using well", and the rights and responsibilities of all parties are becoming more explicit [25]. - **Focused Key Capabilities for Improved Intelligent Computing Service Levels**: The supply of key capabilities is being strengthened. In terms of basic support, innovation services, and operation guarantee, the service capabilities of intelligent computing centers are continuously improving, promoting the value - closed - loop and long - term development of intelligent computing centers [26][27]. - **Aggregated Implementation Ecosystems for Accelerated Release of Intelligent Computing Value**: The ecological system is being integrated, and the collaborative mechanism is being improved. The construction of artificial intelligence computing infrastructure is evolving towards an integrated solution of "computing power + algorithm + data + scenario + service", and a sustainable and high - value partner network is being initially established [28]. 3. Demand Scenarios of Artificial Intelligence Computing Infrastructure - **Large - Model Pre - training Scenario**: Training large - scale pre - trained models (with over a thousand billion parameters) requires high - end ten - thousand - card cluster centers with E - level computing capabilities. Domestic operators and AI manufacturers are actively building such clusters [30][31][33]. - **Large - Model Fine - tuning Scenario**: Small - scale intelligent computing centers (with a computing capacity of 100 PFlops) can effectively support the fine - tuning of industry models. Most domestic intelligent computing centers are focusing on this scenario [34][36]. - **Large - Model Inference Scenario**: Cloud - side inference dominates the current inference demand scenarios. Different inference application scenarios have different requirements for inference models and intelligent computing centers, and specialized intelligent computing centers for inference are emerging [37][39][40]. 4. Key Capabilities of Artificial Intelligence Computing Infrastructure - **Basic Support Capabilities**: Training scenarios focus on cluster computing power effectiveness, stability, single - cluster computing power scale, and compatibility with mainstream computing frameworks. Inference scenarios focus on throughput, latency, and the heterogeneity of intelligent computing cards [44][45][46]. - **Innovative Service Capabilities**: Training scenarios emphasize high - efficiency cloud services, efficient model migration, and diverse data governance. Inference scenarios focus on the pooling and scheduling capabilities of intelligent computing resources and efficient model migration and deployment [50][51][52]. - **Operation Guarantee Capabilities**: Both training and inference scenarios focus on the flexibility of computing power scheduling, the cost - effectiveness of computing power leasing, and security and compliance. Training scenarios also pay attention to the richness of cooperative partners [55][56][57]. 5. Implementation Ecosystem of Artificial Intelligence Computing Infrastructure - **Collaboration between Intelligent Computing and Data Elements**: Collaborating closely with high - value data is the core for intelligent computing centers to improve basic support capabilities. For example, the Wenzhou Artificial Intelligence Computing Center and the Guian New Area are promoting the transformation of high - quality data resources into intelligent computing ecological capabilities [60][61]. - **Collaboration between Intelligent Computing and Algorithm Models**: Collaborating with high - level algorithm models is the key for intelligent computing centers to improve innovative service capabilities. For example, the Chongqing Artificial Intelligence Innovation Center and the Wuling Mountain (Lichuan) Artificial Intelligence Computing Center are promoting the development and application of industry - specific models [63][64][65]. - **Collaboration between Intelligent Computing and Cross - domain Intelligent Computing**: Promoting cross - domain intelligent computing interconnection and collaboration is an important exploration for the improvement of intelligent computing center operation capabilities. Operators' intelligent computing centers have achieved practical breakthroughs in long - distance interconnection [66][67]. - **Collaboration between Intelligent Computing and Industry Scenarios**: Collaborating closely with industry scenarios is the core driving force for the continuous evolution and upgrading of the intelligent computing center ecosystem. The Chang'an Automobile Intelligent Computing Center and the Yunnan Communications Investment Intelligent Computing Center are typical examples of in - depth collaboration [68][70]. - **Collaboration between Intelligent Computing and Regional Industries**: Collaborating with regional industries is an important guarantee for intelligent computing centers to achieve multi - dimensional and full - scenario empowerment. Intelligent computing centers in Ningbo, Wuhan, and Dalian are promoting regional industrial development [71][73]. 6. Development Outlook - **More Diverse and Complex Demand Scenarios**: The demand scenarios of artificial intelligence computing infrastructure will become more diverse, complex, and deeply integrated. There will be higher requirements for computing power, storage, industry integration, and cloud - edge - end collaboration. Different stakeholders should play different roles [76][77]. - **More Intensive and Soft Key Capabilities**: The artificial intelligence computing infrastructure is shifting from extensive hardware stacking to refined service improvement, including large - scale clustering, resource pooling, open - source development, and service - orientation. Industry organizations and operators should take corresponding measures [78][79][80]. - **More Aggregated and Collaborative Implementation Ecosystems**: The implementation of artificial intelligence computing infrastructure empowerment depends on a more aggregated and collaborative ecosystem, including multi - party participation, joint innovation, and industrial cultivation. Government departments and operators should play their roles [81][82][83].

Core Insights - Yunshen Technology announced the completion of over 500 million RMB in Series C financing, led by CMB International and Huaxia Fund, with participation from strategic investors including China Telecom and China Unicom [1] - The financing will support technology research and development, capacity expansion, and market development, aiming to create a new ecosystem for embodied intelligent robots across various industries [1][2] - The company has achieved rapid growth this year, launching the four-legged robot M20 and the humanoid robot DR02, and establishing an intelligent pilot base [1][2] Financing and Investment - The Series C financing involves multiple well-known investment institutions and strategic investors, enhancing the company's financial backing for future growth [1] - The funds will be used to increase R&D investment, attract talent, and strengthen the development of four-legged and humanoid robots [2] Product Development and Innovation - Yunshen Technology has made significant product and technological breakthroughs this year, including the launch of the M20, designed for complex terrains, and the DR02, which operates in extreme temperatures [2] - The company also released the DeepVLA1.0 visual language navigation system, enabling large-scale embodied navigation applications [2] Market Applications and Expansion - The company is actively expanding its applications in various industries, exemplified by the deployment of the X30 robotic dog in Yiwu International Trade City for security and patrol duties [2] - This initiative addresses security challenges in large markets and enhances management capabilities [2] Strategic Direction - Yunshen Technology plans to deepen its "independent innovation + industrial collaboration" strategy, focusing on core technology development and production base construction [3] - The company aims to build benchmark cases in various industries, promoting the integration of robotic technology with industrial needs [3]

美国联邦通信委员会(FCC)表示，可能禁止中国移动、中国电信和中国联通接入美国通信网络，以防范自动拨号骚扰电话。FCC给予这些公司两周时间作出回应。中国移动、中国电信和中国联通必须解决其在该机构自动拨号缓解数据库中的认证问题，并对它们的存在提出质疑。如果FCC将它们移除数据库，美国所有中继服务商和语音服务提供商将被要求停止直接接受来自移动、联通和电信的电话。🗒️此前FCC已禁止这三家公司在美国运营。2019年，FCC以国家安全风险为由，驳回了中国移动在美国提供电信服务的申请；FCC又分别于2021年和2022年撤销了中国联通、太平洋网络及其全资子公司ComNet以及中国电信美洲公司的美国运营许可。FCC近期还决定撤销对中国政府所属或控制的测试实验室的认可。今年3月，FCC称正在调查9家被列入国家安全关注名单的中国公司，其中包括中国联通、华为、中兴以及太平洋网络。 ...