Core Insights - The IASP 2025 World Conference was held in Beijing, showcasing the global influence of the Zhongguancun Industrial Internet Industrial Park through international collaborations [1][2] - The conference attracted participation from over 40 countries and regions, establishing a platform for international innovation resource integration [1][2] - A cooperation memorandum was signed between Zhongguancun Industrial Internet Industrial Park and the Seoul Economic Promotion Agency, focusing on cross-border services, joint technology research, international market expansion, and park management experience sharing [2][3] Summary by Sections International Collaboration - The IASP 2025 conference launched the "IASP 2025 Beijing Zhongguancun International Science Park Innovation Cooperation Initiative," providing a "Chinese solution" for global park collaboration [2] - The partnership aims to support small and medium enterprises in cross-border development and enhance innovation resource alignment in industrial internet, artificial intelligence, and smart manufacturing [2][3] Park Development and Achievements - Since the opening of the first phase in November 2024, the park has attracted 49 quality tech companies, establishing an industrial cluster centered on industrial internet [3] - The park covers a total planned area of 450,000 square meters, focusing on four core sectors: smart equipment, energy power, electronic information, and aerospace [2][3] Policy Support and Future Plans - The Shijingshan District has implemented a "one industry, one chain leader" mechanism to promote strategic emerging industries like industrial internet and artificial intelligence [3] - Zhongguancun Industrial Internet Industrial Park aims to deepen international cooperation and provide replicable "Chinese wisdom" for global industrial internet development [4]

Group 1 - The core viewpoint of the news is the implementation of policies to promote digital trade innovation and development in Liaoning Province, aiming to enhance the digital business environment and advance the construction of a digital Liaoning [1] - By 2029, the scale of digitally deliverable service trade is expected to steadily increase, accounting for over 45% of the total service trade in the province, with cross-border e-commerce transactions continuing to grow [1] - By 2035, the proportion of digitally deliverable service trade is projected to exceed 50% of the total service trade, with improvements in the quality and efficiency of cross-border e-commerce, positioning Liaoning's digital trade development among the top in the country [1] Group 2 - The initiative emphasizes the construction of digital trade service platforms, focusing on areas such as software, communication, big data, artificial intelligence, and industrial internet, while promoting the establishment of resource-rich and innovative digital trade platform operators [2] - The plan includes accelerating the development of digital industries and traditional industry digital transformation, integrating technologies like AI, cloud computing, and big data into the entire design, production, sales, and import-export chain [2] - It aims to promote and regulate cross-border data flow, implementing differentiated security supervision strategies for data based on safety levels, enhancing data security protection capabilities, and establishing efficient mechanisms for orderly cross-border data flow [2]

Core Viewpoint - The company, Shenghong Technology, specializes in the research, production, and sales of high-density printed circuit boards, with applications across various advanced technology sectors [1] Group 1: Company Overview - Shenghong Technology is engaged in the R&D, manufacturing, and sales of high-density printed circuit boards [1] - The company's products are widely used in fields such as artificial intelligence, automotive electronics (new energy), next-generation communication technology, big data centers, industrial interconnect, medical instruments, computers, and aerospace [1] - Currently, the company does not involve itself in the liquid cooling business [1]

Core Insights - The 2025 Global Industrial Internet Conference (GIIC) was held in Shenyang, China, from September 6 to September 8, showcasing its evolution into a significant global platform for the industrial internet since its inception in 2019 [1][2]. Group 1: Conference Overview - The theme of this year's conference was "Digital New Chapter, Intelligent Manufacturing of New Quality," focusing on high-end, intelligent, and green development in related industries [2]. - The event featured participation from leading enterprises in the industrial internet sector, highlighting applications of artificial intelligence and other advanced technologies [2]. Group 2: Participation and Discussions - Delegates from various countries, including the U.S., Brazil, and Greece, gathered to discuss industry changes and explore development opportunities [4]. - More than 20 forums and thematic exchange sessions were organized during the conference to facilitate discussions on industrial internet advancements [2]. Group 3: Regional Strategy - Liaoning Province's Governor Wang Xinwei emphasized the importance of the industrial internet in the province's strategy for "digital Liaoning" and smart manufacturing, identifying it as a key industrial cluster for support [5]. - The strategy aims to accelerate the digitized, networked, and intelligent transformation of manufacturing in Liaoning, leveraging artificial intelligence to foster new production capacities [5].

Core Viewpoint - The Jinan Municipal Government is implementing a strategy to enhance industrial development in the Shizhong District, focusing on creating a modern industrial system characterized by high-end, intelligent, green, clustered, and international features [1]. Group 1: Industrial Development Strategy - Shizhong District aims to promote the "13+34" emblematic industrial chain system and leverage the "3+2" main industry positioning to drive industrial growth [1][3]. - The district plans to cultivate key industry clusters such as aerospace, low-altitude economy, new energy vehicles, and robotics, fostering an innovative ecosystem that encourages collaboration among enterprises, government, academia, and financial institutions [3][4]. Group 2: Infrastructure and Industrial Parks - The district is developing a multi-park layout to support new industrialization, striving to create a provincial economic development zone and enhance infrastructure in industrial parks [3]. - Five new industrial parks focusing on information technology, power equipment, new energy vehicles, aerospace information, and artificial intelligence are being established to strengthen the district's industrial competitiveness [3][4]. Group 3: Digital Transformation and Smart Manufacturing - The establishment of an application scenario research institute is underway to advance digital infrastructure and innovation in application scenarios, including the construction of a "Gigabit City Demonstration Zone" [4]. - The district aims to promote digital transformation among industrial enterprises, with a target of cultivating over 15 intelligent manufacturing pilot demonstration projects by 2026 [4]. Group 4: Financial Support for Industry - Shizhong District has partnered with 12 investment institutions to establish various funds, including an industrial investment fund and a low-altitude economy special fund, with a total reserve exceeding 8 billion [4]. - The first batch of funds, totaling 2.4 billion, is expected to be operational by the end of August, providing robust financial support for industrial development [4].

Core Viewpoint - The article discusses the launch of the 2025 Beijing Key Laboratory application process, emphasizing its alignment with the construction of the Beijing International Science and Technology Innovation Center and focusing on key industries and cutting-edge technology fields [1][10]. Group 1: Application Focus Areas - The application areas for the Beijing Key Laboratories include new generation information technology (such as AI, big data, 5G/6G communication), medical health (including biomedicine, medical devices, precision medicine), intelligent manufacturing and equipment (covering industrial internet, intelligent robotics, high-end equipment manufacturing), new materials (like high-performance materials, nanomaterials, new energy materials), new energy (including clean energy, energy storage technology, carbon neutrality-related technologies), and agricultural technology [1][2]. Group 2: Application Conditions and Requirements - The applicant units must be registered enterprises, institutions, or social organizations in Beijing. Enterprises must meet specific sales revenue and R&D investment criteria. For joint laboratories, one unit must be designated as the leading unit, with others as co-construction units, and a co-construction agreement must be signed [3]. - Research directions should focus on scientific issues within the application areas, highlighting technological innovation, industry relevance, and potential for results implementation. The research team must consist of high-level researchers with solid foundations or achievements in relevant fields [4]. Group 3: Application Process and Timeline - The application notification for the Beijing Key Laboratories was released on April 9, 2025, with the specific deadline for submissions to be announced later. Required materials include the "Beijing Key Laboratory Application Form" and supporting documents (such as unit qualifications, research achievements, team introductions). The evaluation will be conducted by an expert committee, focusing on the project's innovation, feasibility, industrial value, and support for Beijing's technological innovation [6][5]. Group 4: Policy Support for Intelligent Manufacturing - Beijing has significantly increased support for the intelligent manufacturing sector, with recent developments including the establishment of a key laboratory for intelligent manufacturing, focusing on cutting-edge technologies (like industrial internet, intelligent detection, standard systems) and key common technologies (such as measurement, certification, and testing) [7]. - Collaborative innovation between industry, academia, and research institutions is encouraged to promote technology transfer and upgrade the industrial chain [7]. Group 5: Application Recommendations - Applications should focus on critical needs within the intelligent manufacturing sector, particularly on "bottleneck" technologies (such as high-end sensors, industrial software, precision processing equipment). Strengthening collaboration across the industry chain, including upstream and downstream enterprises, universities, and research institutions, is recommended to form a collaborative innovation network [8]. - Application materials should demonstrate the potential for industrialization of technological achievements, such as patent layouts, standard formulation, and demonstration applications. Consulting professional institutions for application guidance is advised to enhance material quality [8]. Group 6: Reference Cases - The High-Entropy Energy Materials and Devices Beijing Key Laboratory is currently accepting applications, focusing on energy materials research, which can serve as a reference for application processes and management requirements. The Smart Traditional Chinese Medicine Chronic Disease Prevention and Treatment Beijing Key Laboratory explores chronic disease prevention technologies through the integration of AI and traditional Chinese medicine, showcasing interdisciplinary research [9].

Group 1 - The core viewpoint of the article highlights how the integration of industrial internet and AI can enhance brand value, exemplified by the Kaos COSMOPlat platform, which has achieved a brand value of 116.335 billion yuan, an increase of 13.558 billion yuan from the previous year [1] - The World Brand Laboratory's report emphasizes that AI is now a central driving force in global brand strategy and digital supply chain management, facilitating a shift from product-centric to consumer-centric approaches [1] - The Kaos COSMOPlat platform has been recognized as a leading case in the development of industrial AI models, supporting over 45 high-value scenarios across nine industries, including home appliances and energy [3] Group 2 - The Kaos COSMOPlat platform has collaborated with Yanchang Petroleum to create an energy and chemical model, resulting in the development of 38 intelligent agents that enhance efficiency by an average of 20% in oil extraction and refining processes [3] - The platform's smart chemical park solutions have been implemented in over 30 chemical parks across more than 10 provinces, serving over 400 chemical enterprises [4] - In the Anhui Changfeng County industrial park, the energy utilization efficiency has improved by 20% and carbon emissions have been reduced by 15%, equivalent to the carbon absorption capacity of an additional 2,000 acres of forest [4]

Group 1 - Hongyi Technology has been recognized as a member of the Guangdong Industrial Internet Industry Alliance and as a provincial industrial internet service provider, highlighting its leading position in the industrial internet sector [1][3] - The company focuses on serving medium to large manufacturing enterprises with its "AI Dingdang Intelligent Manufacturing" MES+ERP integrated solution, which plays a crucial role in various industries such as machinery manufacturing, electrical, automotive parts, and electronics, particularly in the Pearl River Delta and Yangtze River Delta regions [1][3] Group 2 - The Guangdong Industrial Internet Industry Alliance aims to create a collaborative and open industrial ecosystem, connecting government and enterprises to promote the digital transformation of the manufacturing industry [3] - "AI Dingdang Intelligent Manufacturing" offers a comprehensive product matrix that meets the needs of medium to large manufacturing plants while enabling small and medium enterprises to achieve digital transformation easily, especially excelling in the ERP field for machinery manufacturing [3][5] Group 3 - The "AI Dingdang Intelligent Manufacturing" MES+ERP system integrates production, sales, customer, and financial management, breaking down traditional departmental boundaries and enhancing operational efficiency through data-driven processes [5] - Hongyi Technology employs the latest cloud computing technology to provide cost-effective and secure system solutions for medium to large manufacturing enterprises, continuously upgrading its services to meet customer demands [5] Group 4 - Hongyi Technology has achieved significant milestones, including recognition as a member of national and provincial industrial internet alliances, and has received multiple national certifications and patents [5] - In 2023, the company showcased its technological achievements at the China International Digital Economy Expo and has actively participated in various innovation and entrepreneurship competitions [5] - In 2024, Hongyi Technology partnered with China Telecom Guangdong Company to advance the digital transformation of small and medium industrial enterprises and has gained widespread attention at global digital trade expos [5][6] Group 5 - The company plans to continue driving innovation and optimizing its products and services to inject stronger momentum into the high-quality development of the manufacturing industry [6]

Core Insights - Chaoyang District in Beijing has made significant advancements in technology and innovation, with a focus on the "business + technology" dual-driven development strategy, enhancing its comprehensive strength in technological innovation [3][11] - As of now, there are 3,649 national high-tech enterprises in Chaoyang District, with 1,171 specialized and innovative enterprises, 82 national "little giant" enterprises, 25 unicorns, and 146 listed companies [1][3] - The district has established a robust industrial internet ecosystem, with 677 industrial internet companies and has been recognized as a national demonstration base for new industrialization in the industrial internet sector [4] Technology and Innovation - In Q1 2025, the GDP contribution of information services, technology services, and industrial sectors in Chaoyang reached 28.1%, with technology service revenue growth surpassing the city average by 0.7 percentage points [3] - The district is focusing on future industries such as the metaverse, digital healthcare, quantum information, and 6G technology [3][4] Industry Clusters - Chaoyang has developed a "3+X" industrial cluster model, emphasizing industrial internet, artificial intelligence, and digital security, while also fostering new business formats in various sectors [3][4] - The artificial intelligence sector has nearly 700 companies, covering 118 industry segments, with a focus on applications in finance, education, healthcare, and retail [5] Infrastructure Development - The district is actively constructing specialized industrial parks, with over 20 parks in development, including the first industrial AI park in the country [7][10] - The Chaoyang District has launched the first digital healthcare park in the city, focusing on imaging-assisted diagnosis and health management [6] Collaborative Innovation - Chaoyang is enhancing its innovation ecosystem by collaborating with universities and research institutions, establishing innovation centers, and promoting the commercialization of research projects [9][11] - The district has implemented a comprehensive technology innovation policy framework, allocating over 600 million yuan in 2024 to support high-tech industries and small enterprises [9][10] Financial Services - The district has created a technology finance service matrix, attracting over 220 financial institutions to provide comprehensive financial services to tech companies [10] - In the first half of the year, 74 tech companies received credit totaling 5.15 billion yuan, addressing financing challenges faced by these enterprises [10] International Cooperation - Chaoyang has established the first international technology organization headquarters cluster in the country, enhancing international collaboration in technology innovation [11] - The district is working on building a dual-service system to support both local enterprises going global and foreign enterprises entering the local market [11]

Core Insights - The core industry scale of industrial internet in China exceeds 1.5 trillion yuan, driving economic growth of nearly 3.5 trillion yuan, with artificial intelligence becoming a key variable in the development of industrial internet [1] Group 1: Industrial Internet Development - The industrial internet has expanded to cover 49 categories of the national economy, achieving full coverage of 41 industrial categories, with over 6.5 trillion identification registrations and connections to over 100 million industrial devices [2] - A multi-level platform system has been established, consisting of 49 cross-industry platforms and over 200 specialized platforms, supporting a wide range of application needs from general to industry-specific [3] Group 2: AI Integration in Industrial Applications - AI technology is being deeply applied in industrial scenarios, with companies like 蓝卓数字科技 leveraging their "supOS" factory operating system to facilitate digital transformation across over 8,000 factories in various industries [4] - 卡奥斯 has upgraded its "twin manufacturing integrated platform," which merges virtual production with physical manufacturing, optimizing the entire manufacturing lifecycle [5] - AI applications in engineering machinery and supply chain management have demonstrated significant efficiency improvements, such as a 60% increase in energy replenishment efficiency and a 30% improvement in inventory turnover [6][7] Group 3: AI and Industrial Internet Synergy - The integration of AI and industrial internet has led to the emergence of numerous application models, with a focus on both small models for specific tasks and large models for comprehensive industrial intelligence [8] - The development trend indicates a collaborative fusion of large and small models, where large models handle task planning and coordination, while small models execute specific tasks effectively [8]