Core Viewpoint - The company, Shida Group, clarifies that it is not involved in any drone projects and emphasizes its strategic cooperation with regional partners to enhance service coverage in various fields such as computing power, AI, and big data [2] Group 1: Strategic Focus - The company is leveraging policy advantages from the Digital China and Digital Fujian initiatives to enhance its resource integration capabilities [2] - The focus areas include digital government, smart education, intelligent computing power, and data flow [2] Group 2: Current Projects - The company is actively advancing investments and layouts in the intelligent computing field, primarily undertaking computing center construction projects [2] - Ongoing projects include the development of computing scheduling platforms and the rapid delivery capabilities of enterprise-level container cloud platforms [2] - The company has successfully implemented the first phase of the Kerun Cloud Intelligent Computing Center and the second phase of the Gulou Intelligent Computing Center [2] Group 3: Acquisitions and Future Plans - The company is in the process of acquiring 95% of Shuchan Ming Shang, which is investing in the construction of an intelligent computing center with a scale of 2000P under sparse algorithms [2] - Upon completion of the acquisition, the company will participate in the operation and management of the project, providing intelligent computing power solutions [2]

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: 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 20th Central Committee of the Communist Party of China [1] - As of June 2023, 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, and storage capacity exceeding 1,680 exabytes [1] Group 2: Applications in Research - Researchers at Westlake University are utilizing intelligent computing technology to efficiently analyze sequencing data related to non-coding RNA, accelerating research processes that were previously time-consuming and complex [2] - The collaboration between various institutions, including Shanghai Jiao Tong University and Fudan University, has led to the discovery and validation of two new cancer targets within just two months, showcasing the rapid advancements in research facilitated by AI [3] Group 3: Industry Applications - The implementation of AI in the dairy industry by Yili Group has resulted in the creation of health profiles for cows, enhancing monitoring and management through computer vision technology, which has improved milk production quality [4] - The development of over 800 intelligent agents at Yili has optimized supply chain scenarios, significantly reducing risks related to raw material expiration and shortages [4] Group 4: Technological Innovations - Inspur Information has launched an AI computing system optimized for intelligent agents, achieving a token generation speed of just 8.9 milliseconds, which represents a significant advancement in AI processing capabilities [7] - Baidu's Wenxin model and PaddlePaddle deep learning platform are enhancing efficiency across various industries by supporting large-scale adaptive distributed deep learning training [6] Group 5: Collaborative Efforts - The establishment of the "Supernode Computing Cluster Innovation Alliance" aims to foster collaboration among companies and institutions in chip development, system design, and application innovation, leading to significant advancements in computing technology [8] - Companies like Taichu Electronics are actively collaborating with universities to develop intelligent computing solutions, emphasizing the importance of industry-academia cooperation in driving innovation [8]

Core Insights - The development of intelligent computing power, based on the latest AI theories and advanced computing architectures, is significantly supporting the advancement of artificial intelligence [1] - China's computing center has reached a total scale of 10.85 million standard racks, with intelligent computing power at 788 billion billion times per second, and storage capacity exceeding 1,680 exabytes, positioning the country among the global leaders in AI model development [1] Group 1: AI in Research and Innovation - Intelligent computing is driving a paradigm shift in scientific research, accelerating the generation of original innovative results [2] - Researchers at Westlake University are utilizing intelligent computing technology to efficiently analyze sequencing data related to non-coding RNA, significantly speeding up research processes [2] - The collaboration between universities and computing companies is enhancing the application of intelligent computing in scientific research [3] Group 2: Diverse Applications and Industry Integration - The State Council's policy emphasizes the need for a coordinated approach to intelligent computing supply, making it accessible, economical, and environmentally friendly [4] - Companies like Yili are leveraging AI computing to create health profiles for dairy cows, improving monitoring and management efficiency in production [4] - The development of over 800 intelligent agents at Yili has optimized supply chain scenarios, reducing risks related to raw material shortages and excess [5] Group 3: Technological Advancements and Collaborations - Baidu's AI foundation, built on the Wenxin model and PaddlePaddle deep learning platform, is enhancing efficiency across various industries [6] - Inspur Information has introduced AI computing systems that significantly reduce the cost and time of model training and inference [7] - The establishment of the "Super Node Computing Cluster Innovation Alliance" aims to advance standards and applications in intelligent computing [8]

Core Viewpoint - The State Council of China has issued an implementation opinion aimed at accelerating the cultivation and opening of application scenarios to transform them into "scientific and technological innovation landscapes," thereby activating the engine for high-quality development in China [1][5]. Group 1: Importance of Scenario Cultivation - Application scenarios serve as a bridge connecting technology and industry, playing a crucial role in promoting the large-scale commercialization of new technologies and products [2]. - The successful growth of technological innovations relies on the nourishment provided by application scenarios, which facilitate the integration of research and market needs [2]. Group 2: Advantages of China's Market - With a population of over 1.4 billion and the largest number of R&D personnel globally, China is well-positioned to cultivate and unleash new growth momentum through application scenarios [3]. - Innovations such as autonomous vehicles, drone delivery services, and medical robots are emerging, continuously expanding industry boundaries and reshaping consumer experiences [3]. Group 3: Implementation Strategies - The opinion outlines targeted deployments focusing on five key areas, including the creation of new application scenarios in emerging fields, industry transformation, and social governance [5]. - Emphasis is placed on exploring high-value small-scale scenarios in various sectors such as office, social, and healthcare, leveraging technologies like the metaverse, virtual reality, and robotics [5]. - The opinion also addresses challenges such as insufficient open scenarios and limitations in technology promotion, proposing measures to enhance public data supply and better utilize national projects for scenario cultivation [5].

Core Viewpoint - The State Council has issued an implementation opinion focusing on accelerating the cultivation and large-scale application of new scenarios across 22 key areas, emphasizing technological innovation and application in various sectors [1][9]. Group 1: New Field and New Track Application Scenarios - The opinion encourages exploring applications of technologies such as the metaverse, virtual reality, intelligent computing power, and robotics in office, social, consumer, and entertainment sectors to meet diverse development needs [3]. - It aims to expand application scenarios in industrial production, urban planning, comprehensive transportation, public services, safety protection, and agricultural production [3]. - The document promotes the widespread application of biotechnology in new materials, construction, energy, and environmental protection industries [3]. - It advocates for the application of clean energy in railways, public transport, sanitation, heavy trucks, agricultural machinery, and logistics [3]. - The cultivation and opening of scenarios related to deep-sea exploration, deep-sea mining, deep-sea aquaculture, marine engineering equipment, marine electronic information, and marine biomedicine are also highlighted [3]. Group 2: New Business Formats for Industrial Transformation and Upgrading - The opinion supports the innovation of flexible production lines, smart factories, green factories, high-standard digital parks, and zero-carbon parks [4]. - It encourages the development of smart traffic management, vehicle networking, and intelligent scheduling application scenarios [4]. - The document promotes the establishment of scenarios for unmanned transportation, unloading, delivery, and smart warehousing [4]. - It also supports the creation of application scenarios for specialized seed industries in arid, cold, plateau, and saline-alkali areas [4]. Group 3: Industry-Specific Application Scenarios - The opinion emphasizes the innovation of technologies and equipment for intelligent perception, unmanned rescue, and aerial rescue [5]. - It aims to construct high-level intelligent application scenarios for mining safety production, focusing on real-time perception of production conditions and risk prevention [5]. - The document promotes integrated monitoring and perception scenarios for water network engineering management and inspections of rivers, lakes, and reservoirs [5]. - It encourages the development of smart construction sites and dynamic digital models for construction processes [5]. - The opinion also includes application scenarios for ecological monitoring, governance, protection, and disaster prevention [5]. Group 4: Innovative Social Governance Services - The document highlights the exploration of public service scenarios for employment of new graduates, new employment forms, and migrant workers, as well as digital social security scenarios [6][7]. - It promotes the advancement of new urban infrastructure construction and the innovation of comprehensive digital transformation scenarios for cities [7]. - The opinion supports the opening of scenarios for harmonious rural development and digital rural construction [7].

Core Insights - The State Council of China has issued an implementation opinion to accelerate the cultivation of new application scenarios in the digital economy, focusing on technologies like the metaverse, virtual reality, and robotics, which provides unprecedented policy opportunities for cultural and technological enterprises [1] - The market for cultural tourism integration in China is rapidly expanding, projected to grow from 2.32 trillion yuan in 2024 to over 7 trillion yuan by 2025, with the digital cultural tourism market expected to reach 1.1 trillion yuan in 2023 and exceed 1.5 trillion yuan by 2025 [1] - Zhejiang Dafeng Industrial Co., Ltd. is positioned as a leading enterprise in the cultural tourism industry, aiming to seize market opportunities through partnerships and innovative applications in robotics and entertainment [1][2] Company Overview - Dafeng Industrial is a global leader in providing comprehensive solutions for the cultural tourism industry, with core businesses including cultural tourism technology equipment, digital art technology, and rail transit equipment [2] - The company has participated in major national projects, such as the CCTV Spring Festival Gala stage system and the Beijing Winter Olympics main torch, and has a presence in over 100 countries, holding over 1,000 patents [2] - In October, Dafeng Industrial launched the world's first human-robot interactive band, "Aieribadi," marking a significant innovation in the integration of technology and art in the music industry [2] Technological Integration - Dafeng Industrial has been actively exploring the integration of cutting-edge technologies with its core cultural tourism business, deploying software for interactive displays, smart navigation, and intelligent control systems [3] - The company has formed a strategic partnership with Shanghai Zhiyuan New Technology Co., Ltd. to establish a joint venture focused on the application of humanoid robots in cultural tourism, utilizing a "technology + scenario + IP" model [3] - A comprehensive strategic cooperation with Alibaba Cloud is set to enhance the development of lightweight models for cultural performance and tourism experiences, aiming to lower the R&D threshold for entertainment robots [3] Market Potential - The demand for cultural tourism is robust, with significant cost advantages for robotic replacements, indicating a strong potential for robots in the cultural tourism sector [4] - The adaptability of humanoid robots to the current development stage aligns well with the cultural tourism industry, suggesting that companies in this sector are likely to benefit from these advancements [4]

Core Insights - The Chinese government has issued implementation opinions to accelerate the cultivation and large-scale application of new scenarios, emphasizing the importance of these scenarios in validating new technologies and products, and promoting the integration of technological and industrial innovation [1][2]. Group 1: New Application Scenarios - The opinions focus on creating new application scenarios in five areas: digital economy, artificial intelligence, industrial transformation, social governance, and improving people's livelihoods [2]. - In the digital economy, the government aims to explore applications of technologies such as the metaverse, virtual reality, and robotics, enhancing the integration of the digital and real economies [2][3]. - For artificial intelligence, the emphasis is on strengthening core technology development and promoting high-value application scenarios to meet diverse needs across various sectors [2]. Group 2: Industrial Transformation and Upgrading - In the manufacturing sector, the focus is on intelligent manufacturing, green manufacturing, and service-oriented manufacturing, with support for innovative production lines and smart factories [3]. - The transportation sector will see the introduction of new technologies for smart traffic management and optimization of urban transport structures, enhancing efficiency while ensuring safety [3]. - The opinions also highlight the need for collaborative reforms in market access, scenario cultivation, and resource allocation to support the development of new productive forces [3].