Core Insights - The fifth China New E-commerce Conference opened in Yanbian, Jilin Province, focusing on the deep integration of digital technology and new e-commerce [1][3] - The conference aims to transform technological advantages into developmental advantages and promote high-quality development in new e-commerce [3] Group 1: Conference Objectives and Themes - The conference is organized by the China Internet Society and supported by various governmental and commercial entities, emphasizing the importance of collaboration in enhancing the digital economy [3] - Key objectives include strengthening digital technology, cultivating distinctive brands, ensuring regulated development, and promoting open cooperation to expand industry growth [3] Group 2: Industry Developments and Projections - The "China New E-commerce Development Report (2025)" highlights that new e-commerce has evolved from a mere transaction tool to a transformative ecosystem for the entire industry chain [3] - Projections indicate that by 2024, the total online retail sales in China will reach 15.5 trillion yuan, with physical goods online retail accounting for 26.8% of total social retail sales [3] Group 3: Case Studies and Innovations - Yiwu's digital transformation was showcased, emphasizing the necessity of embracing AI for traditional market development, with significant investments in AI tools [5] - Innovations include the world's first small commodity trade model supporting multilingual video conversion and AI-generated high-quality marketing content, which has gained substantial online attention [5] Group 4: Awards and Initiatives - The conference featured an award ceremony recognizing 12 units, including Alibaba, for their innovative practices in the e-commerce sector [8] - Initiatives launched during the conference include the "Cross-border Exhibition and Sales Integration Project" and the "New E-commerce High-Quality Development Action" [8]

Core Insights - The article highlights the integration of advanced technologies such as artificial intelligence and flexible robotics into elderly care, showcasing various innovative solutions that address specific needs in the aging population [1][5][11]. Group 1: Robotic Innovations in Elderly Care - The "robot dog" named "Xiaoxi" in Hangzhou is capable of delivering medication and meals to elderly residents, becoming a beloved companion and providing a new solution for smart elderly care [1][3]. - "Xiaoxi" is equipped with advanced cameras to detect obstacles and monitor the movements of elderly individuals, enhancing safety by alerting staff in case of falls [3][7]. - In Shenzhen, robots are engaging with elderly residents through activities like playing table tennis and folding clothes, indicating a shift towards more interactive and supportive roles in elderly care [5][6]. Group 2: Advanced Mobility Solutions - The introduction of a self-driving wheelchair at the Shanghai Elderly Expo allows seniors to navigate both indoor and outdoor environments autonomously, with features like obstacle avoidance and remote video calling [7][9]. - Exoskeleton assistive devices are designed to help elderly individuals walk more easily by providing mechanical support, significantly reducing the effort required for movement [9][10]. Group 3: Smart Kitchen Solutions - In Gansu, a combination of human chefs and cooking robots in elderly dining facilities enhances meal preparation efficiency, allowing for quick and nutritious meals to be served [11][13]. - A community dining hall in Shanghai utilizes robotic arms for cooking, capable of preparing over 2000 dishes while ensuring nutritional balance, thus improving the dining experience for seniors [13]. Group 4: Market Context and Demand - With over 300 million people aged 60 and above in China and more than 45 million individuals suffering from disabilities or dementia, the demand for robotic caregivers is increasing, highlighting a significant gap in the current workforce of only 500,000 caregivers [11][14].

在当日举行的2025浦东新区人工智能产业生态全球推介会上，上海市浦东新区副区长李慧表示，当前浦 东正在更加突出地打造"人、技术、场景"共生共荣的AI城市新形态。未来三年，浦东计划新增1000家人 工智能企业，核心产值规模突破2000亿元。 作为全国首个人工智能创新应用先导区，浦东新区在人工智能技术突破、制度创新、产业发展、生态建 设等领域取得一系列成效。 官方数据显示，目前浦东人工智能产业规模已超1600亿元，在上海全市占比约40%。在大模型领域，已 有200余家垂类模型相关企业选择与浦东同行，其中28款大模型产品已经完成备案或登记。 中新网上海7月27日电 (记者 李姝徵)加快建设人工智能(AI)产业高地，27日上海市浦东新区新推出一揽 子举措。 来源：中国新闻网 为了进一步丰富AI基础要素，张江科学大数据创新实验室和数据要素市场价值评估中心在本次推介会 上揭牌。 三是丰富金融支持。据悉，浦东将设立能覆盖企业各阶段、聚焦重点领域的全过程基金矩阵，为 AI企 业提供多方面的资金助力。 27日推介会现场，浦东新区人工智能种子基金正式对外发布。黄日阅 摄 当日推介会现场，浦东新区人工智能种子基金正式对外发布。该基 ...

Group 1 - The forum focused on the critical development path for the electronic chemicals industry in China, emphasizing the need for a safe and controllable industrial chain [2] - Electronic chemicals are identified as a cornerstone for the development of strategic emerging industries, playing a vital role in semiconductor manufacturing, new energy, and 5G communications [2] - The forum highlighted the significant challenges in manufacturing and quality control verification standards, necessitating a new research paradigm that integrates artificial intelligence with chemical engineering [2] Group 2 - The forum addressed key technical challenges in high-end electronic information chemicals, including photoresists, electronic specialty gases, and semiconductor packaging [3] - Experts presented 15 specialized reports on topics such as the development strategy of electronic information chemicals, ultra-pure separation and purification, and synthesis and preparation of materials [3] - A collaboration with the Industrial Chemistry & Materials (ICM) journal resulted in the launch of a special issue on Advanced Electronic Chemicals, providing a platform for academic exchange on green design and preparation of electronic chemicals [3]

Core Viewpoint - The "Integrated AI General Education Textbook" covering all educational stages from basic to higher education was officially launched at the WAIC 2025, marking a significant step in China's systematic AI education resources [1] Group 1: Textbook Overview - The textbook will be introduced in pilot schools this autumn and aims for nationwide implementation across primary, secondary, and higher education [2] - The curriculum was developed by East China Normal University, incorporating insights from multidisciplinary experts to create a comprehensive AI knowledge system that progresses from basic understanding to complex applications [2] - The textbook consists of 12 volumes designed to integrate technology skills with humanistic thinking, addressing long-standing challenges in AI education such as curriculum continuity and teacher preparedness [2][3] Group 2: Educational Framework - The textbook innovatively constructs a universal AI knowledge framework for learners aged 6 to 22, filling the gap in cohesive AI education that previous materials failed to address [2] - It aligns with standards such as "Teacher Digital Literacy" and "Guidelines for AI Courses in Primary and Secondary Schools," ensuring a logical and progressive curriculum [2] Group 3: Cultural and Practical Integration - The textbook features a "theory to practice" model, developed by a team of experienced educators and researchers, ensuring relevance to real teaching scenarios [3] - Cultural elements such as the concept of "Jian Ai" from Mozi and the Three Laws of Robotics are included in the ethics section, enhancing cultural identity and practical skills among learners [3] - The curriculum also incorporates significant technological applications, such as intelligent diagnostics for high-speed rail, to strengthen students' practical abilities [3]

Core Insights - International cooperation is increasingly recognized as a vital element in the development of artificial intelligence (AI), particularly in the context of global governance and ethical standards [3][6][8] - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai highlighted the significance of cultural inclusivity in AI governance, emphasizing the need for a collaborative approach that respects diverse values and ethical frameworks [5][11] Group 1: AI Governance and International Cooperation - AI governance encompasses the establishment of a framework that balances technological ethics, cultural diversity, and the provision of global public goods [6] - The development of AI requires a new governance paradigm that addresses the "black box" effect of AI technologies, ensuring transparency and accountability in decision-making processes [6][10] - International collaboration is essential for standardization and regulation of AI technologies, as it fosters mutual recognition of ethical standards and promotes shared governance mechanisms [7][10] Group 2: China's Role in AI Development - China advocates for global open cooperation in AI, leveraging its comprehensive technology research and manufacturing capabilities to facilitate rapid development and application of AI technologies [8][10] - The country has initiated training programs in collaboration with the United Nations to assist developing nations in understanding AI technology, aiming to bridge the technological gap [8][10] - China's approach to AI governance emphasizes inclusivity and shared standards, promoting a cooperative framework that benefits all nations, particularly those in the Global South [10][11] Group 3: Challenges in AI Global Governance - The current landscape of AI governance is characterized by a complex interplay of three paradigms: technological hegemony, ethical regulation, and development rights prioritization [10] - The European Union's AI Act represents a significant regulatory effort but may inadvertently stifle innovation and competitiveness within the European AI ecosystem [10] - There is a pressing need for a governance path that maintains technological openness while respecting cultural diversity, as disparities in AI development and application exist across different countries [12] Group 4: Future Opportunities with Embodied Intelligence - The emergence of embodied intelligence represents a new phase in AI evolution, necessitating international collaboration to address the complexities of integrating physical and digital realms [14][16] - The development of a complete embodied intelligence industry chain requires cooperation across multiple disciplines and sectors, making international partnerships essential for success [16] - As the industry evolves, early consensus on collaborative frameworks will be crucial to minimize resource wastage and maximize the benefits of new technologies [16]

Group 1 - The core theme of the conference is the potential of digital intelligence to surpass human intelligence, raising questions about global governance and the implications of AI development [1][3] - Jeffrey Hinton emphasizes the fundamental advantage of AI in knowledge transfer efficiency, stating that AI can share data at a rate of billions of bits per second compared to humans' 100 bits per second [3] - Hinton warns of the risks associated with AI, likening humanity's relationship with AI to raising a tiger cub, highlighting the need for international cooperation to manage AI safely [4][5] Group 2 - The concept of "AI for all" is being actively pursued in China, with companies like MiniMax demonstrating significant reductions in video generation costs and time, promoting democratization of creativity [4] - Eric Schmidt and other leaders discuss the unique characteristics of the AI ecosystem in China, advocating for ongoing dialogue and data sharing between the US and China to build trust and avoid strategic miscalculations [5] - The idea of AGI (Artificial General Intelligence) being a global public good is proposed, emphasizing the need for collective commitment to ensure AGI benefits all of humanity [5][6]

Core Insights - Schneider Electric released a report titled "Coordinated Computing and Power - Energy Challenges and Responses in Data Centers" during the WAIC 2025, based on in-depth research involving 117 data center managers and experts [1] - The report highlights three major energy challenges faced by the industry: stability, cost, and sustainability, proposing an innovative "Coordinated Computing and Power" three-layer architecture and systematic solutions [1][3] Group 1: Energy Challenges - The rapid expansion of AI has led to an explosive growth in global computing power demand, resulting in increased energy consumption in data centers and highlighting the urgency for coordinated optimization of computing and power systems [3] - According to the report, 93% of surveyed companies identified power supply stability as their primary concern, influenced by load fluctuations, unstable renewable energy integration, and backup power limitations [4] - 85% of respondents reported cost pressures, with electricity costs accounting for nearly 60% of operational expenses, making cost reduction a critical issue [4] - 77% of companies face challenges in carbon emission management, creating a progressive pressure system from "survival" to "operation" and then to "development" [4] Group 2: Solutions and Innovations - Traditional energy usage models, which rely heavily on rigid power supply and lack dynamic coordination between computing and power, are inadequate for modern data center needs [5] - The report proposes a "Coordinated Computing and Power" framework that integrates power supply, computing loads, and coordination mechanisms to achieve deep integration of computing and power resources [7] - 56% of surveyed data centers are already utilizing renewable energy sources, such as solar, wind, and nuclear, to enhance power supply stability while reducing costs and carbon emissions [7] - The report emphasizes the need for flexibility in computing demand management, including predicting power consumption and optimizing non-IT loads to ensure efficient use of computing resources [7] - Schneider Electric aims to leverage its expertise in energy management and data centers to help companies build efficient and sustainable next-generation data center infrastructure, promoting the large-scale implementation of coordinated computing and power practices [7]

Core Insights - The WAIC2025 Star River Intelligent Open Cooperation Forum was held, focusing on building an open and collaborative scientific intelligence ecosystem [1] - Multiple innovative achievements were announced, including the Early Chinese Civilization Multimodal Large Model and the Global Academic Cooperation Initiative [1][3] Group 1: Early Chinese Civilization Multimodal Large Model - The Early Chinese Civilization Multimodal Large Model was officially released, developed by Fudan University, Shanghai Intelligent Research Institute, and Shanghai Chuangzhi Academy [3] - The model encompasses 100TB of specialized corpus, SFT data, and evaluation sets, pioneering cross-modal intelligent alignment of civilization spatiotemporal data [3] - It supports the Chinese Civilization AI Agent platform, enabling multi-step reasoning and complex task planning, benefiting education, research, and cultural industries [3] Group 2: Global Academic Cooperation Initiative - A global initiative was launched by top international scientists, including Nobel Prize winners, aiming to break the "data divide" and ensure AI benefits reach every corner of the globe [3] - The initiative outlines four core objectives: building open-source scientific infrastructure, initiating multinational interdisciplinary scientific programs, cultivating international scientific talent, and establishing a fair value-sharing mechanism [3][4] Group 3: Star River Intelligent Open Platform - The Star River Intelligent Open Platform was launched, designed to accelerate scientific discovery and provide comprehensive infrastructure for scientists and AI engineers [6] - It aims to enhance cross-disciplinary collaboration and address key scientific challenges, significantly speeding up scientific discoveries [6] - The platform includes the "Guanxin" large model, which formalizes complex clinical diagnosis processes into a multi-agent collaborative system for cardiovascular specialties [6] Group 4: Ethical Review AI Agent "Yijian" - The ethical review AI agent "Yijian" was introduced, capable of automatic rule review and risk labeling, enhancing review efficiency and compliance [7] - It has been trialed at Fudan University and its affiliated Zhongshan Hospital, ensuring data security and supporting the generation of review reports [7]

科技日报记者 王迎霞 来源：科技日报 这些成绩的取得离不开顶层设计。自治区党委和政府高度重视科技成果转化工作，出台《关于加快促进 科技成果转移转化的实施方案》等政策文件，全力构建以成果转化为导向的科技创新体系，推动东部优 质科技成果在宁夏转化落地。宁夏和东部省市同向发力，累计组织实施东西部科技合作项目2000余项， 在装备制造、新型材料、生物育种等领域形成了一批标志性创新成果。江苏、上海、山东科技主管部门 设立面向宁夏对口支援、协同创新的示范推广项目，中国工程院在宁夏设立首家工程科技发展战略研究 院，为产业转型升级、经济社会高质量发展提供了高端智力支撑。 此外，宁夏积极建设科技成果转化载体平台，宁东现代煤化工、石嘴山先进材料、贺兰山实验室、中宁 枸杞科技成果转化等4家中试平台入选工信部首批重点培育名单；建成宁夏技术市场，石嘴山、吴忠、 固原以及贺兰、灵武等分市场，中南大学、天津科技大学、西安交通大学等区外17家技术转移单位在宁 夏设立分支机构。 宁夏还大力培养技术转移人才，支持宁夏职业技术大学获批国家技术转移人才培养基地，累计培养技术 经理人近500名；坚持每年举办创新创业大赛、创新挑战赛，促进科技成果需求端 ...