Group 1 - The core viewpoint of the articles emphasizes China's commitment to AI governance and its global outreach through innovative technologies and solutions [1][2][3] - The launch of the "Mazu" early warning system by the China Meteorological Administration during the World Artificial Intelligence Conference highlights China's proactive approach to disaster prevention and international cooperation [2][3] - Alibaba's release of three new open-source AI models has sparked a global wave of interest, with over 400 million downloads and more than 140,000 derivative models, positioning it as a leader in the open-source AI community [2] Group 2 - The establishment of a proposed World Artificial Intelligence Cooperation Organization in Shanghai aims to leverage China's AI advancements to foster international collaboration and consensus [3] - Various successful applications of Chinese AI technologies in different countries, such as agricultural improvements in Cambodia and healthcare advancements in Singapore, demonstrate the global impact of China's AI initiatives [3] - The "China Intelligence Benefits the World (2025)" case collection illustrates how Chinese AI is transcending borders to promote development and enhance global living standards [3]

新华财经上海7月26日电（记者王鹤）7月26日，在上海开幕的2025世界人工智能大会暨人工智能全球治理高级别会议上，国家发展改革委主任郑栅洁发布 《中国智·惠世界（2025）》案例集。该案例集以中英双语图文结合的形式，集纳了全球人工智能国际合作中的部分宝贵成果，通过一个个中国AI与世界共 同成长的鲜活故事，展现了中国在全球人工智能发展中对智慧共享、合作共赢的有益探索。 图为《中国智·惠世界（2025）》案例集发布现场 （新华社记者方喆摄） 纵观当下，人工智能不仅改变了人们的生活方式，也对全球经济和科技发展格局产生了深远影响。它正以前所未有的速度、广度和深度变革经济社会发展模 式，成为全球科技发展的新焦点。 近年来，中国始终坚持"以人为本、智能向善"的人工智能发展和治理理念，推动全球人工智能科技在交流中进步、在合作中深化交融。《中国智·惠世界 （2025）》聚焦国际合作项目，讲述了中国人工智能产品和技术在亚洲、非洲、南美洲、欧洲等国家和地区赋能发展的生动实践：7小时生死线大语言模 型，与灾民无障碍沟通；AI赋能教育跨越国界，让文化传承触手可及；智能化技术养殖助力增产增收，让农户鼓起钱袋子；人工智能在医疗智能影像 ...

Core Viewpoint - The article discusses the increasing electricity demand during the summer heat and the measures taken by power companies to ensure supply stability through various engineering projects and technological innovations [1][2][3][4][5] Group 1: Power Supply Measures - Multiple power companies are implementing supply guarantee projects and optimizing resource allocation to address the rising electricity load during high-temperature periods [1] - In Beijing, 67 key power supply projects have been put into operation, including 19 main network projects and 48 distribution network projects, adding 150 kilometers of transmission lines and 1.73 million kilovolt-amperes of transformer capacity [2] - In Sichuan, 13 key projects have been completed, with 704 kilometers of new transmission lines and an additional 9.62 million kilovolt-amperes of transformer capacity, enhancing the overall power supply capability by 6.55 million kilowatts [2] Group 2: Load Management and Optimization - Sichuan's electricity load reached a historical peak of 73.11 million kilowatts, prompting the power company to enhance resource optimization and ensure supply through a multi-layered electricity trading mechanism [3] - The company is utilizing flexible demand-side management strategies, including a demand response library of 9 million kilowatts, to balance supply and demand during peak periods [3] - Emerging technologies such as virtual power plants are being integrated into the power supply system, allowing distributed resources like solar and storage to contribute to supply stability [3] Group 3: Technological Innovations in Operations - The introduction of autonomous drone inspections marks a significant advancement in the maintenance of high-voltage power lines, improving efficiency and monitoring capabilities [4] - The drones can operate over a radius of 50 kilometers, overcoming challenges posed by difficult terrains, and significantly enhancing inspection efficiency compared to traditional methods [4] - In Beijing, the integration of AI and big data models has enabled rapid fault detection and response, reducing repair times and improving service efficiency [5]

Group 1: Digital Economy Development - The development of the digital economy requires breakthroughs in technology, industrial collaboration, and international governance to build new advantages [1] - The digital economy era is driving profound changes in production factors, industrial forms, and competitive paradigms, with companies that possess technological foresight and agile transformation capabilities being able to seize development opportunities [1] - Key characteristics of digital economy development include innovation and market collaboration, deep restructuring of factor structures, and emerging enterprises having stronger innovation vitality and competitive advantages [1] Group 2: Infrastructure and Innovation Ecosystem - China aims to consolidate and further develop its advantages in the digital economy by advancing new infrastructure construction such as 5G networks and intelligent computing power [2] - The establishment of a unified data factor market is essential to support the innovation and development of technology-based enterprises [2] - Regional collaborative development should focus on promoting distinctive digital industries based on local advantages to form a differentiated development pattern [2] Group 3: Embodied Intelligence - Embodied intelligence aims to break the limitations of traditional artificial intelligence by endowing intelligent agents with physical perception and action capabilities [3] - The global embodied intelligence industry is significant, with applications enhancing productivity, such as the use of 80 intelligent transport vehicles at Shanghai Yangshan Port, which increased throughput by 130% [3] - Embodied intelligence is leading to revolutionary changes in production, service, and innovation ecosystems, while also facing challenges such as physical safety and data sovereignty [3][4] Group 4: Data Factor Market Development - Data is a crucial production factor in the digital economy, and balancing value release with privacy protection is key to market development [5] - Hunan Province has been proactive in building a data factor market, with plans for a national data factor comprehensive pilot zone by 2025 [5][6] - There is a need to enhance personal data rights, improve data trading mechanisms, and strengthen privacy protection to promote high-quality development of the data factor market [6] Group 5: Artificial Intelligence and Robotics - Alibaba Cloud is actively promoting the development of AGI (Artificial General Intelligence) and has made significant advancements in large model training technology [7][8] - The demand for intelligent robots in various sectors, including elderly care, is increasing, necessitating higher computational power for tasks such as perception and decision-making [9][10] - Domestic AI chips are becoming critical for the advancement of intelligent robots, with companies like Zhongke Yihai Microelectronics focusing on developing integrated AI chip architectures [11][12] Group 6: Smart Elderly Care Solutions - The aging population in China necessitates innovative solutions in the healthcare and elderly care sectors, with companies like Yanda Group integrating AI technology into their services [13][14] - Yanda International Health City is leveraging AI for personalized healthcare and rehabilitation solutions, aiming to set a replicable model for smart elderly care [14] Group 7: Digital Transformation in Traditional Industries - Xifeng Liquor is utilizing digital technology to enhance production processes and quality control, implementing a comprehensive digital management system [15][16] - The company is exploring new marketing models and integrating digital technology into its green production system to improve efficiency and sustainability [15] Group 8: Robotics in Households - The robotics industry is expected to accelerate, with companies like Yuanluobo focusing on making intelligent robots accessible to ordinary households [17][18] - The introduction of affordable household robots has the potential to address various family needs, achieving significant market recognition with over 100,000 units sold globally [18][19] Group 9: Digital Freight and Logistics - Digital freight is reshaping the logistics industry, enhancing efficiency and reducing costs through platforms like Manbang Group's "Yunmanman" [20][21] - The Ministry of Transport anticipates a reduction in logistics costs by 300 billion yuan by 2025, with a focus on optimizing transportation organization and resource allocation [21]

Group 1 - The "Xiaomiao" industrial model, developed by the Smart Building Materials Research Institute funded by China National Building Material Group, has been publicly launched, focusing on the cement sector as a testing ground [1] - The model integrates three core technologies: the fusion of time-series data with industrial mechanisms, multi-modal scenario collaboration, and decision-making fault tolerance, achieving over 1% reduction in cement batching costs [1] - After over two years of application, the model has established a mature engineering delivery capability, successfully implemented in nearly 100 cement enterprises, with data governance cycles reduced to as short as 14 days and model deployment within 7 days [1] Group 2 - China National Building Material Group's chairman believes AI will act as a "super accelerator" for new material research, significantly shortening development cycles and reducing trial-and-error costs [2] - The group is currently promoting AI's integration into strategic emerging industries for new materials, having built 231 scenario models covering the entire chain from core manufacturing to R&D and supply chain management [2] - In 2024, the State-owned Assets Supervision and Administration Commission will launch the "AI+" initiative for central enterprises, with several enterprises releasing industrial models, including China National Petroleum and State Grid [2]

Core Insights - The China National Energy Group has launched the world's first trillion-level power generation model, "Qingyuan," which integrates 15 business domains and 75 key application scenarios in the power generation industry [1] - "Qingyuan" aims to address long-standing issues in the power generation sector, such as high safety risks, complex multi-energy coordination, and passive equipment maintenance [1] - The model has already been successfully applied in 13 scenarios and deployed 41 intelligent agents, showcasing its effectiveness in real-time decision-making [1] Group 1 - "Qingyuan" covers a comprehensive intelligent decision-making system that includes safety and environmental protection, electricity trading, production scheduling, and equipment maintenance [1] - The model demonstrated its predictive capabilities by forecasting a heavy rainfall event seven days in advance, allowing for timely flood management decisions [1] - Central enterprises are increasingly adopting artificial intelligence, with trillion-level models emerging across various industries [1] Group 2 - In December of last year, the State Grid released the "Guangming" multi-modal industry model, which serves the entire power industry chain [2] - In May, China Petroleum introduced the "Kunlun" model with 300 billion parameters, applicable across the oil and gas industry chain [2] - As of late March this year, central enterprises have deployed artificial intelligence in over 500 scenarios across key industries such as industrial manufacturing and energy power [2]

Core Insights - The 2025 "Belt and Road" Power and Energy Senior Seminar Project was launched on June 6, 2023, at the State Grid Technical Institute, gathering 28 executives and scholars from various Belt and Road countries to discuss global energy trends [1][3] Group 1: Project Overview - The theme of this year's seminar is "Promoting Green Energy Cooperation and Building a New Power System," with sessions held in Jinan, Xi'an, and Hong Kong, concluding on June 17 [3] - The program includes six specialized lectures on topics such as "Sharing China's Green Power Transition Cases" and "Applications of Artificial Intelligence in Power Grids," along with site visits to green low-carbon charging stations and manufacturing bases [3][7] Group 2: Participant Feedback - Participants, such as Ferdinand DICON from the Philippines, expressed admiration for China's achievements in low-carbon energy transition and highlighted the importance of system stability for their national grid [3] - Matías HEPP from Chile noted the depth of Chinese traditional culture and expressed a desire to act as a bridge for cultural exchange [5] Group 3: Training Organization and Methodology - The State Grid Technical Institute meticulously organized the training, focusing on the development trends in the power energy sector and ensuring a comprehensive learning experience [7] - The training features an innovative interactive teaching model, emphasizing participant engagement and experience to enhance training effectiveness [7][9] Group 4: Historical Context and Impact - This seminar project, initiated by the State Grid Corporation, Xi'an Jiaotong University, Hong Kong Polytechnic University, and Hong Kong Electric Company, marks the eighth consecutive year of its implementation [9] - Over the past eight years, the project has attracted 858 executives from 45 countries and regions, promoting technology demonstration, standard promotion, and knowledge sharing [9][10] - The State Grid Technical Institute has hosted 64 international training sessions, training over 4,100 participants from 86 countries and regions, thereby strengthening exchanges and mutual trust among energy professionals in Belt and Road countries [10]

国家能源局将指导供电企业探索创新供电方案线上答复、采用远程视频等方式实现线上竣工检验等，鼓 励具备条件的地区推行从用电申请到装表接电"全程网上办"，推动实现用户办电"一次都不跑"。低压办 电"零投资"扩大至160千瓦及以下各类民营经济组织，鼓励有条件的地区进一步提升低压接入容量上 限。比如，个体工商户开店、农民办农家乐等需要申请用电的，都可以享受免费接电。初步测算，今后 5年可新增受益群体150万户左右。目前，北京、上海、广州、深圳等数十个城市已将"零投资"的办电容 量标准从160千瓦进一步提升至200千瓦，让更多经营主体享受改革红利。 二、由"项目等电"向"电等项目"转变 国家电网推行电力先行，保障重大项目的用电无忧，为经济发展提供保驾护航。国家电网助力企业早接 电，积极对接地方政府产业转型升级规划和招商引资安排，科学开展配套电网规划建设，压缩工程建设 周期，实现由"项目等电"到"电等项目"的转变；助力企业用好电，推广不停电作业，不断提升供电可靠 性，针对电子信息、高端装备制造、量子计算等新兴产业和未来产业对电能质量的高要求，加强异常监 测分析，主动优化电网运行方式；助力企业降成本，深化提升能效诊断等"供电 ...

Group 1 - Honor has announced multiple recruitment plans for robot-related R&D positions, indicating a pursuit of new growth avenues beyond smartphones [1] - This recruitment effort is expected to boost market expectations for innovation breakthroughs among domestic smart hardware giants and accelerate talent competition in related fields [1] Group 2 - State Grid Corporation is deepening the application of "AI + emergency repair," utilizing the Guangming Power model to enhance proactive repair service quality and improve power supply security [2] - The initiative aims to transition power repair services from passive to proactive and intelligent, significantly reducing customer wait times and enhancing user experience [2] - This marks a significant advancement in the application of AI technology in critical infrastructure operations, boosting confidence in the smart energy sector [2] Group 3 - Hangzhou is set to release the latest implementation plan for building an AI innovation hub, aiming for over 390 billion yuan in core AI industry revenue and more than 700 core AI enterprises by 2025 [3] - The city plans to establish an industrial fund for AI with a scale exceeding 100 billion yuan, leveraging its digital economy to gain a competitive edge in AI [3] - However, there are concerns about the risk of redundant construction and the need to convert e-commerce advantages into AI competitiveness, which will be crucial for observing the innovation landscape in the Yangtze River Delta [3]

Core Viewpoint - The State Council's press conference highlighted the efforts to enhance the "power supply service level" and ensure a modern electricity business environment, with expectations of overall power supply security during the peak summer period, although some regions may experience tight supply during peak hours [1][3]. Group 1: Power Supply Security - The National Energy Administration (NEA) anticipates that the overall power supply will be secure during the upcoming peak summer period, despite potential tightness in certain regions during peak hours [3]. - Measures to ensure power supply include strengthening energy monitoring and early warning systems, optimizing inter-provincial power sharing, and enhancing demand-side response capabilities [3]. Group 2: Infrastructure Development - The NEA has focused on improving distribution network planning and construction, directing funds towards rural areas and old neighborhoods to reduce supply disparities [2]. - In 2023, the NEA addressed 510 critical power outage issues reported by the public, with plans to further enhance efforts in 2024 to eliminate frequent power outages dynamically [2]. Group 3: Technological Innovation - The State Grid Corporation is implementing AI technologies to improve power outage response times, with pilot projects showing an average reduction of 20 minutes in repair times [4]. - The company aims to continue innovating AI-powered products to enhance customer service and reliability in power supply [4].