12月26日，以"新开局、新动能、新征程"为主题的"启航·2025金融峰会"在北京圆满举办，大会由金融界主办，汇聚监管部门、行业协会、金融机构、上市 公司、媒体等领域数百位相关领导和重磅嘉宾。会上，第十四届金融界"金智奖"年度评选结果重磅揭晓，润泽科技荣获"杰出前沿科技企业"。 "金智奖"旨在树立高质量发展标杆，引导上市公司聚焦主业、持续创新、践行社会责任，推动资本向优质企业集聚。本届评选中，金融界上市公司研究院紧 密契合"十五五"规划中"提升上市公司质量"的要求，将高质量发展内核分解为社会责任、实业贡献、投资回报、成长前景、创新效率、杰出品牌六大维度， 以企业财务数据和公开信息为基础建立量化分析模型，最终覆盖A股、港股及中概股超8000家企业，评选出近200家获奖企业。 未来，公司将主动融入"十五五"经济高质量发展大局，继续以实际行动践行绿色发展理念，在提高能源使用效率，赋能客户发展的同时，在绿色电力交易、 绿色技术创新、广泛绿色贡献等方面持续发力，紧跟国家"双碳"战略，持续夯实数据资源与智能算力基石底座，创新完善算力资源结构，聚焦智能算力、算 力基础设施、数字经济领域的技术创新与高效节能，为持续打造绿色化 ...

Core Insights - The "Shenzhen Venture Day" event, co-hosted by Shenzhen's local financial management bureau, the Shenzhen Technology Innovation Bureau, and the Chinese University of Hong Kong, Shenzhen, aims to promote innovation and investment in the AI sector [1][2] - The event serves as a platform for connecting university entrepreneurial projects with investment and industry resources in Shenzhen, facilitating the rapid commercialization of technological achievements [2] Group 1 - The event attracted numerous senior technical managers, investment institutions, and project representatives to explore innovation opportunities in the AI field [1] - The Hong Kong Chinese University Shenzhen Research Institute has supported over 120 entrepreneurial projects and plans to launch a new industrial center in Qianhai to bolster innovation in the Greater Bay Area [1][2] - The focus was on cutting-edge AI projects, including large models, intelligent computing power, and terminals, aiming to accelerate the integration of university research with Shenzhen's investment landscape [2] Group 2 - The successful hosting of the event showcased the innovative capabilities of the Hong Kong Chinese University in the AI sector and provided strong support for the transformation and industrial application of university technological achievements [2] - The event facilitated communication between venture capital institutions in Shenzhen and Hong Kong and technology innovation projects, enhancing the channels for the transformation and application of AI technology [2]

12月8日，蔡甸区城投集团董事长杨胜立提前来到位于蔡甸现代城的人工智能产业园项 目开工现场。他拿出手机，不断点击屏幕上的快门键，记录项目即将开建的重要时刻。 杨胜立代表人工智能产业园项目，与君晖文旅、宜宇安等项目代表一同登上项目现场设 立的舞台，签约落笔。这场从会议室搬到项目现场的集中签约活动，11个项目签约落户蔡甸 现代城，总投资86亿元。 当天，低碳催化与二氧化碳利用全国重点实验室协同创新中心在蔡甸现代城揭牌，该中 心将依托低碳催化与二氧化碳利用全国重点实验室长江大学分室技术优势，校地合作共同构 建低碳催化与二氧化碳利用创新研究体系。 人工智能产业园项目规划用地面积210亩，分两期建设，一期约106亩启动区建设办公塔 楼及少量标准化厂房，二期约104亩拓展区。 蔡甸现代城是蔡甸区打造千亿城区的重要载体，蔡甸区负责人表示，该区正以重大项目 与创新平台落地为牵引，加速打造现代产业新高地和区域消费中心、科创中心、服务中心。 杨胜立介绍，该项目将聚焦AI模型研发、智能算力、智能制造应用等前沿领域，构建 以"人工智能"为赋能核心、以"智能制造"为实体支撑的双核驱动产业体系，打造从技术研发 到场景应用的全产业链生态， ...

Core Insights - The article discusses the implementation of the State Council's opinions on accelerating the cultivation and large-scale application of new scenarios across 22 key areas, emphasizing the connection between technology and industry [2][3]. Group 1: Digital Economy - The digital economy sector will explore applications of technologies such as the metaverse, virtual reality, intelligent computing power, and robotics in various fields including office, social, consumption, and entertainment [3]. Group 2: Artificial Intelligence - The focus will be on strengthening core technology breakthroughs and promoting high-value application scenarios in the artificial intelligence sector [3]. Group 3: Unmanned Systems - Expansion of unmanned systems applications will cover industrial production, urban planning, comprehensive transportation, public services, safety protection, and agricultural production [4]. Group 4: Biotechnology - The biotechnology sector will prioritize the development of application scenarios for bio-based materials, low-carbon transformation of bioenergy, and green preparation of natural products [5]. Group 5: Clean Energy - Innovations in clean energy will include digital and intelligent management of energy production, smart grids, green electricity supply, virtual power plants, and vehicle-to-grid interactions [5]. Group 6: Marine Development - The marine development sector will promote applications in deep-sea exploration, deep-sea mining, offshore aquaculture, marine engineering equipment, marine electronic information, and marine biomedicine [6]. Group 7: Manufacturing - The manufacturing sector will encourage localities and enterprises to cultivate application scenarios in industrial design, pilot testing, and inspection services [6]. Group 8: Transportation - Innovations in transportation will focus on smart traffic management, vehicle networking, and intelligent scheduling to optimize urban traffic structures and expand international air cargo transfer applications [7]. Group 9: Smart Logistics - The smart logistics sector will explore new logistics models that integrate new technologies and business formats, including smart intermodal transport [7]. Group 10: Modern Agriculture - Innovations in modern agriculture will encompass application scenarios across the entire industry chain, including seed breeding, farming, and food processing [8]. Group 11: Emergency Rescue - The emergency rescue sector will focus on digital scenarios, enhancing intelligent perception, unmanned rescue, and aerial rescue technologies and equipment [8]. Group 12: Mining Safety - The mining safety sector will develop intelligent application scenarios for real-time condition perception, process visibility, risk assessment, and resource allocation [9]. Group 13: Smart Water Conservancy - The smart water conservancy sector will promote integrated monitoring and management scenarios for water engineering construction and river inspection [9]. Group 14: Construction Safety - The construction safety sector will focus on creating smart construction sites and dynamic digital models for construction processes [9]. Group 15: Forestry and Grassland - The forestry and grassland sector will introduce application scenarios for monitoring, ecological governance, and disaster prevention [9]. Group 16: Government Services - The government services sector will explore innovative public service scenarios for various employment groups, including recent graduates and migrant workers [10]. Group 17: Smart Cities - The smart city sector will innovate scenarios for comprehensive digital transformation and open key application areas [10]. Group 18: Rural Development - The rural development sector will open scenarios for harmonious and digital rural construction [10]. Group 19: Healthcare - The healthcare sector will innovate application scenarios for health consultations, diagnostic guidance, remote medical services, and medication review [11]. Group 20: Elderly Care - Innovations in elderly care will include service robots, smart wearable devices, remote service systems, and online family doctor services [11]. Group 21: Culture and Tourism - The culture and tourism sector will enhance digital performances, digital art, and immersive experiences, integrating various applications for smart tourism [11]. Group 22: Cross-Industry Consumption - The cross-industry consumption sector will strengthen the integration of commerce, culture, tourism, sports, health, and transportation, fostering applications of technologies like the internet, 5G, and virtual reality [12].

Core Insights - The article discusses the implementation of new opportunities in 22 key areas as outlined by the State Council's recent policy on accelerating scene cultivation and large-scale application of new scenarios [2]. Group 1: New Opportunities in Various Fields - The focus is on exploring application scenarios in areas such as the metaverse, virtual reality, intelligent computing, and robotics within office, social, consumption, and entertainment sectors [4]. - In the artificial intelligence sector, there is an emphasis on strengthening core technology development and promoting high-value application scenarios [4]. - The development of all-space unmanned systems is highlighted, with applications in industrial production, urban planning, public services, and agriculture [4][5]. Group 2: Energy and Marine Development - The clean energy sector is set to innovate in digital and intelligent energy production management, smart grids, and virtual power plants [5]. - Marine development will focus on deep-sea exploration, marine engineering equipment, and marine biomedicine [5]. Group 3: Industrial and Transportation Innovations - The manufacturing sector is encouraged to cultivate application scenarios in industrial design and testing services [6]. - Innovations in transportation include smart traffic management and international air cargo transfer applications [6]. Group 4: Safety and Emergency Response - The emergency rescue system will enhance digital scenarios with intelligent sensing and unmanned rescue technologies [7]. - The mining safety sector aims to develop intelligent applications for real-time condition monitoring and risk prevention [7]. Group 5: Urban and Rural Development - The smart city initiative will focus on comprehensive digital transformation and the opening of key application scenarios [8]. - In rural construction, there will be efforts to improve ecological monitoring and disaster prevention [8]. Group 6: Healthcare and Social Services - The healthcare sector will innovate in remote medical services and health consultations [9]. - In elder care and childcare, there will be advancements in service robots and online healthcare systems [9]. Group 7: Cultural and Consumer Integration - The cultural and tourism sectors will enhance digital experiences and smart management of visitor flows [10]. - Cross-industry consumer integration will focus on merging commerce, culture, and technology, including 5G and virtual reality applications [10].

Core Insights - The strategic cooperation agreement signed between Ankang High-tech Zone and the China Intelligent Computing Industry Alliance marks a significant step in implementing the "East Data West Computing" national strategy, aiming to accelerate the development of computing infrastructure in the western region [1][2]. Group 1: Strategic Importance - Ankang High-tech Zone is positioned as a key ecological supplement area for "West Computing," catering to the overflow demand for computing power from the eastern regions and providing supporting services such as data labeling and disaster recovery centers [2]. - The Ankang Intelligent Computing Center has established 2000P of intelligent computing power, accounting for 80% of the total industrial application intelligent computing power in Shaanxi Province, and ranks 13th in the "2025 China High-Performance Computing Performance TOP 100" list [2]. Group 2: Collaborative Framework - The China Intelligent Computing Industry Alliance serves as a core collaborative platform in the computing power sector, integrating hundreds of research institutions and leading enterprises, which will enhance resource complementarity and synergy with Ankang High-tech Zone's industrial foundation and policy advantages [3]. - The signing ceremony was attended by top industry experts, highlighting the importance of this collaboration in promoting the development of the computing power industry in the western region [3]. Group 3: Future Prospects - The collaboration is expected to transform Ankang into the largest and most technologically advanced intelligent computing core in southern Shaanxi, injecting strong computing power into the high-quality development of the digital economy in the Qinba Mountain area [3]. - This partnership contributes to the overall framework of computing power industry coordination between eastern and western China, enhancing the synergy between different regions [3].

Core Insights - The article emphasizes the significant advancements in artificial intelligence (AI) and intelligent computing capabilities in China, highlighting the government's support for innovation in AI technologies and infrastructure [1][5]. Group 1: Intelligent Computing Infrastructure - As of June 2023, China's operational computing center has reached a total scale of 10.85 million standard racks, with intelligent computing capabilities at 78.8 billion billion operations per second and storage exceeding 1,680 exabytes [1]. - The government has initiated policies to enhance the supply and accessibility of intelligent computing resources, aiming for economic efficiency and sustainability [5]. Group 2: Applications in Research and Development - AI technologies are driving significant changes in research methodologies, particularly in fields like computational biology, where intelligent computing has accelerated the analysis of complex biological data [3][4]. - Collaborations between universities and computing companies are fostering the application of intelligent computing in scientific research, enhancing the speed and accuracy of discoveries [3][4]. Group 3: Industry Applications and Innovations - Companies like Yili are leveraging AI and intelligent computing to create health profiles for livestock, improving monitoring and management efficiency in dairy production [5][6]. - The development of over 800 intelligent agents by Yili has optimized supply chain scenarios, significantly reducing risks related to inventory and logistics [6]. Group 4: Technological Advancements - Innovations in computing architecture, such as the development of ultra-node AI servers, are enabling faster and more cost-effective processing of AI models [8]. - The establishment of the "Ultra-node Computing Cluster Innovation Alliance" aims to enhance collaboration among various stakeholders in the AI and computing sectors, focusing on protocol development and application deployment [9]. Group 5: Educational and Collaborative Efforts - Companies are actively collaborating with academic institutions to develop intelligent computing solutions, contributing to the training of skilled professionals in the field [10]. - The integration of self-developed AI acceleration cards and collaborative research teams is fostering innovation and practical skills among young talents [10].

Core Insights - The development of artificial intelligence (AI) is significantly supported by advanced computing power and innovative technologies, as highlighted in the recent policy recommendations from the Chinese government [1] - China's computing power centers have reached a total scale of 10.85 million standard racks, with intelligent computing power at 788 billion billion operations per second, positioning the country among the global leaders in AI infrastructure [1] Group 1: AI in Research and Innovation - AI is driving a transformation in research paradigms, enabling faster and more accurate scientific discoveries, particularly in fields like computational biology [2][3] - The collaboration between universities and computing companies is accelerating the application of intelligent computing in research, enhancing the efficiency of model training and inference [2][3] Group 2: Diverse Applications of Intelligent Computing - Companies like Yili are leveraging AI and cloud computing to create smart health management systems for livestock, improving operational efficiency and product quality [4][5] - The integration of AI in manufacturing processes, such as in the production of high-speed trains, has significantly reduced simulation times and improved design accuracy [5] Group 3: Industry Collaboration and Innovation - The establishment of the "Supernode Computing Cluster Innovation Alliance" aims to enhance collaboration among companies in chip development, system design, and AI applications [8] - Innovations in computing architecture, such as the development of ultra-node servers, are addressing the challenges of high energy consumption and system scalability in AI applications [7][8]

Group 1 - The 2025 World Internet Conference in Wuzhen focuses on building an open, cooperative, and secure digital future, contributing new wisdom for global development [1] - China has established the world's largest information and communication network, with 4.705 million 5G base stations, achieving comprehensive coverage across all prefecture-level cities and key counties [1] - The scale of intelligent computing power in China has reached 788 EFLOPS, providing strong support for the development of the digital economy [1] Group 2 - Technological innovation is a significant characteristic driving the development of the digital economy, facilitating industry iteration and activating development momentum [4] - The conference showcases cutting-edge technologies and emphasizes the integration of technology and industry, highlighting the potential for traditional industries to evolve and new industries to emerge [4] - The conference aligns with the "14th Five-Year Plan," which emphasizes enhancing national security capabilities in emerging fields such as networks, data, and artificial intelligence [4] Group 3 - The concept of building a community with a shared future in cyberspace has become an important international consensus over the past decade, addressing issues like cybersecurity and personal information protection [5] - The conference serves as a platform for global collaboration on common issues such as artificial intelligence governance and digital infrastructure construction [5] - Under the guidance of the "14th Five-Year Plan," China aims to write more development miracles in the digital age, contributing significantly to global internet development and governance [5]

Core Viewpoint - The State Council's implementation opinion aims to accelerate the cultivation and large-scale application of new scenarios, emphasizing the integration of technology and industry to promote economic and social high-quality development [1][3]. Summary by Relevant Sections Overall Requirements - The opinion emphasizes innovation-driven, reform-promotion, and systematic advancement, leveraging China's vast market and diverse application scenarios to support the construction of major comprehensive scenarios and high-value niche scenarios [8]. Economic and Social Application Scenarios - Focus on creating new application scenarios in digital economy, artificial intelligence, unmanned systems, and biotechnology, with specific emphasis on integrating these technologies into various industries [9][10]. New Industry Application Scenarios - In manufacturing, the focus is on smart and green manufacturing, while in transportation, the emphasis is on intelligent traffic management and logistics [11][12]. Industry-Specific Application Scenarios - Emergency management, mining safety, and smart water management are highlighted as key areas for developing innovative application scenarios [13][14]. Social Governance and Public Services - The opinion promotes the development of smart governance services, including intelligent appointment systems and digital social security, to enhance public service efficiency [15][16]. Enhancing Application Scenario Support - The document outlines the need for policy support and management systems to ensure the effective implementation of new application scenarios, emphasizing collaboration among various sectors [20][21].