Core Viewpoint - The development of the first domestically produced plasma process chamber simulation platform (MAPS) by Dalian University of Technology represents a significant advancement in atomic-level manufacturing technology, addressing existing technical bottlenecks in the industry [1] Group 1: Technology Development - MAPS can simulate atomic-level manufacturing equipment comprehensively, including external control parameters and device geometric structures, leading to reduced development time and improved efficiency [1] - The technology has been applied in several integrated circuit equipment companies, including Tuojing Technology and Huawei, achieving a 15% reduction in economic costs and a 20% reduction in time costs compared to similar foreign products [1] Group 2: Industry Collaboration - The research team collaborates with leading domestic enterprises to establish joint laboratories, allowing students to participate in technology development projects during their studies, thereby cultivating high-level talent for the industry [1] Group 3: Government Support - Liaoning Province has identified atomic-level manufacturing as a key focus for future industries, organizing promotional activities and establishing a technology plan to support foundational research and cutting-edge breakthroughs in this area [1] - The provincial government aims to accelerate the development of "root technologies" to facilitate industrial advancement and achieve a "leapfrog" development strategy [1]

Core Insights - The Ministry of Civil Affairs and seven other departments have jointly issued measures to promote the development of the silver economy and support the cultivation of elderly care service operators [1] Group 1: Key Measures - The measures propose 14 specific initiatives across five areas, emphasizing the integration of technology in elderly care services, including the use of big data, artificial intelligence, and Beidou technology for health monitoring and personalized services [1] - There is a strong encouragement for the development of elderly care robots and support for companies developing smart devices to pilot their applications in elderly care institutions [1] - The focus is on transforming the elderly care service system from a "traditional care model" to a "smart quality enhancement model," driven by technological innovation and supply optimization [1] Group 2: Industry Development Focus - The Ministry of Industry and Information Technology aims to enhance the quality of elderly products and promote the widespread application of smart health and elderly care services, focusing on increasing variety, improving quality, strengthening technology, and enforcing standards [2] - Key areas for technological support include the development of humanoid robots, health monitoring devices, and rehabilitation aids for large-scale application in homes, communities, and elderly care institutions [2] - The measures also include building a supply-demand matching platform to address barriers in the silver consumption market, enhancing the shopping experience for the elderly [2]

科技日报北京1月14日电 （记者华凌）记者14日从国网华东分部获悉，近日，该分部研发的具备在线推 理与持续进化能力的调控智能体"AI调控大脑"投运成效显著。相关技术经鉴定达国际领先水平，为新型 电力系统建设提供可复制的"华东方案"。 国网华东分部相关负责人表示，该系统投运后，不仅优化了特高压交流、省级联络线等关键通道潮流， 还让输电能力提升5%以上，对新能源高效消纳有着积极意义。2025年，华东电网新能源消纳率达 99.21%，位居全国区域电网首位。此外，该系统能够在多次直流闭锁重大故障中秒级生成应急控制策 略，处置成功率超95%，可通过持续仿真复盘迭代优化，形成"实践—学习—优化"良性循环。 为攻克核心问题，国网华东分部牵头联合南瑞集团等单位攻关，实现多项原创技术突破。团队融合专家 经验与强化学习，智能体训练收敛速度提升10倍以上。此外，团队还以自注意力与动态掩码协同框架实 现决策精准可控、逻辑可追溯；"离线—在线"协同训练覆盖多工况，赋予系统全场景决策与自主进化能 力；嵌入电网安全约束、设置"数字护栏"，筑牢电力系统安全防线，构建起安全高效可解释的AI调控体 系。 [ 责编：曾震宇 ] 当前，我国电网正向 ...

仪式现场，深圳市优必选科技股份有限公司（以下简称"优必选科技"）分别与自贡数据有限公司、 自贡亘古龙腾科技有限公司等签署合作协议。此次下线的"自贡数投"人形机器人，为优必选科技最新一 代可自主换电的具身智能人形机器人Walker S2。该机器人拥有全球首创的人形机器人热插拔自主换电 系统，可灵活应用于质检、搬运、分拣等生产环节，并能扩展至柔性制造、无人值守产线等复杂工业场 景。 优必选科技创始人、董事会主席兼首席执行官周剑表示，落子自贡高新区是优必选科技战略实施的 关键一步。自优必选科技2024年6月与自贡高新区签署"优必选（自贡）双总部项目"以来，自贡高新区 坚实的产业基础、高效的政策支持与一流的营商环境，为企业发展提供了丰厚沃土。 科技日报讯（记者刘侠 通讯员熊丹）四川人形机器人多模态数据采集测试中心投运暨首台机器人 下线仪式日前在自贡机器人产业园举行。作为四川省首个专业化、多模态人形机器人数据采集测试平 台，该中心的正式投运与首台机器人的成功下线，标志着自贡市在贯彻落实四川省委、省政府人工智 能"一号创新工程"决策部署上取得关键性突破，为本地人工智能产业"建圈强链"和高质量发展注入新的 强劲动力。 四川 ...

Core Viewpoint - The successful drilling of the "Donggao Hot 1" geothermal well in East China marks a significant achievement in the exploration and utilization of hydrothermal geothermal energy, which can provide substantial energy resources for various applications [1][2]. Group 1: Geothermal Energy Overview - Geothermal energy can be categorized into magma-type, dry hot rock-type, and hydrothermal geothermal energy, with hydrothermal being the primary focus for global development [2]. - The "Donggao Hot 1" well, with a depth of 4002.17 meters and a bottom temperature of 162°C, is expected to release an annual heat equivalent to approximately 27,000 tons of standard coal [1]. Group 2: Technological Advancements - The drilling team developed high-temperature acid fracturing technology to address challenges in deep geothermal reservoirs, enhancing connectivity and preventing blockages [3]. - A submersible pump was also developed to operate stably at 146°C, overcoming limitations in high-temperature pumping equipment [3]. Group 3: Implications for Energy and Society - The successful drilling challenges the traditional belief that high-temperature geothermal resources are limited to specific regions, opening opportunities for similar geological areas [4]. - Geothermal energy applications include clean urban heating, electricity generation, industrial production, and agricultural uses, emphasizing a smart, tiered utilization approach [5][6]. - The development of deep geothermal resources aims to benefit the public, with potential to replace traditional fossil fuels and contribute to a low-carbon future [6].

Core Viewpoint - The article highlights the significant advancements and strategic initiatives in artificial intelligence (AI) within Jiangsu Province, emphasizing the integration of AI across various industries and the establishment of a robust ecosystem to support its development [2][6]. Group 1: AI Development and Applications - Jiangsu Province is actively promoting the integration of AI into various sectors, including industrial, agricultural, and public services, aiming to establish itself as a leading innovation hub for AI by 2035 [2][6]. - The "AI+" action plan aims for over 90% application penetration of new intelligent terminals and systems by 2030, with the AI industry expected to exceed 1 trillion yuan [6]. - AI applications are being utilized in diverse fields such as aerospace, healthcare, and biomanufacturing, showcasing the technology's versatility and impact on critical sectors [4]. Group 2: Research and Innovation - Nanjing University has achieved the top ranking in AI disciplines globally, reflecting the strength of research capabilities in the region [3]. - The Jiangsu government supports AI research through funding and resources, facilitating the development of innovative technologies and applications [3]. - The establishment of national AI public computing platforms and support for young talent in AI research are key components of Jiangsu's strategy to enhance its research landscape [3]. Group 3: Policy and Ecosystem Development - Jiangsu has introduced several policies, including a provincial-level infrastructure development plan for computing power and guidelines for AI applications in manufacturing [5]. - The province is creating a comprehensive AI fund to support enterprises throughout their development lifecycle, ensuring sustained investment in AI technologies [5]. - The "AI for Science" initiative aims to deploy approximately 100 foundational research projects annually, focusing on key scientific fields where Jiangsu has clear advantages [6].

Core Insights - The research team led by the University of Chinese Academy of Sciences has directly observed the Migdal effect during neutron-nucleus collisions, confirming a quantum mechanics prediction made 87 years ago and providing crucial experimental evidence for the search for lighter dark matter particles [1][2] Group 1: Research Findings - The study successfully captured instances of the Migdal effect during neutron interactions with atomic nuclei, achieving statistical significance exceeding five standard deviations, which meets the physical "discovery" standard [2] - The research measured the ratio of the Migdal effect cross-section to the atomic nucleus recoil cross-section, marking a significant advancement in the field [2] Group 2: Implications for Dark Matter Research - The Migdal effect is considered a key theoretical pathway to overcome the energy threshold for detecting light dark matter, which has faced skepticism due to the lack of experimental support for over 80 years [2] - This breakthrough allows future international dark matter detection experiments to utilize the Migdal effect to enhance signal recognition accuracy and expand the range of dark matter detection [2]

Core Insights - The global technological competition is advancing towards foundational research and interdisciplinary fields, with AI for Science (AI4S) becoming a core engine for achieving high-level technological self-reliance and reconstructing scientific research paradigms [1] Group 1: Challenges in AI4S Development - The field of condensed matter science faces challenges in developing AI4S due to its reliance on researcher experience and intuition, leading to high trial-and-error costs and long R&D cycles [2] - The transition from a "human-intensive" trial-and-error approach to a "data and intelligence-intensive" rational design and prediction is expected to significantly enhance R&D efficiency and shorten the cycle from basic research to industrial application [2] Group 2: Data Quality and Governance - High-quality scientific data is the foundation of AI4S, with researchers working to build data aggregation and integration platforms to optimize AI model performance [3] - Current issues in condensed matter science data include resource scarcity, severe data isolation, insufficient data volume, inconsistent standards, and a lack of effective data aggregation mechanisms [3] - Data governance technology is a driving force for AI4S, with research teams developing efficient data processing algorithms and tools to enhance data governance and support scientific breakthroughs [4] Group 3: Innovation Ecosystem - A data innovation ecosystem is essential for the sustainable development of AI4S, with efforts to create research platforms and communities that support data sharing and collaboration [5] - Existing practices include standardized evaluation systems for models related to crystal material topology and XRD intelligent structure analysis, which support large-scale, collaborative data-driven technological innovation [5] Group 4: National Strategies and Initiatives - The digital transformation of condensed matter science has become a national strategy for major economies, with initiatives like the U.S. "Genesis Project" and the U.K. "National AI Strategy" focusing on the deep integration of condensed matter science and AI [6] - China is actively exploring this field, with the Chinese Academy of Sciences' Condensed Matter Science Data Center making systematic progress in integrating experimental, theoretical, and computational data [6] Group 5: Future Directions for Development - To further promote AI4S in condensed matter science, efforts should focus on building standardized, high-quality national data foundations and enhancing data collection, governance, application, and sharing services [7] - Creating an open, collaborative, and sustainable data ecosystem is crucial, along with fostering deep integration between industry, academia, and research [7] - Breakthroughs in data technology will enhance China's independent innovation capabilities and international competitiveness in condensed matter science [7]

1月14日，由中国科学院广州地球化学研究所科研团队自主研发的首台国产纳米晶体结构快速解析 仪正式发布。该仪器具备对纳米级晶体与矿物进行物相识别与结构测定的高通量快速分析能力，整体技 术水平已与国际同类最新设备持平。 随着人类对深空、深地等未知世界和纳米功能材料等应用领域的探索，解析亚微米至纳米尺度物质 的晶体结构已成为科学认知与高新技术发展的重要需求。"传统单晶X射线衍射技术难以突破纳米尺度 晶体的解析瓶颈，而依赖国外仪器与软件则伴随着高昂成本、操作复杂与算法受限等多重壁垒，导致我 国深地资源研究等战略领域长期受制于人。"团队负责人、中国科学院广州地球化学研究所研究员鲜海 洋介绍。 5年前，团队投入到纳米晶体结构快速解析仪的研发中。他们先后实现场发射电子枪及高压电源等 核心部件的国产化，攻克高精度控制等核心技术，成功研制出首台国产纳米晶体结构快速解析仪。该仪 器搭载团队自主开发的"连续倾转三维电子衍射采集与处理系统"，实现了从硬件到软件的全流程自主可 控。团队还把样品台的漂移量控制在200纳米以内，保证采集到高质量的数据。 传统X射线解析晶体至少需要半小时乃至几天的时间，而该解析仪采集数据时间以秒计，也就是说 ...

Core Viewpoint - The production of domestically manufactured T1000-grade carbon fiber in Shanxi, China, marks a significant breakthrough in high-performance materials, previously dominated by foreign entities [1][3]. Group 1: Production Process - The T1000-grade carbon fiber is produced through a sophisticated process involving the polymerization of acrylonitrile into a gel-like solution, followed by extrusion and various processing stages, resulting in a high-quality final product [1]. - The production line, established by the Chinese Academy of Sciences and Huayang Carbon Material Technology Co., has achieved key milestones, with qualified products produced by September 2025 and official production commencing in November 2025 [1]. Group 2: Technical Advancements - T1000-grade carbon fiber boasts a carbon content exceeding 90%, with a strength 5 to 7 times that of steel, making it essential for high-end applications in aerospace and other strategic sectors [3]. - The new carbon fiber exhibits superior properties, including corrosion resistance and stability at extreme temperatures, capable of withstanding up to 1000 degrees Celsius and maintaining performance at -180 degrees Celsius [4]. Group 3: Challenges and Solutions - Transitioning from laboratory success to stable mass production posed significant engineering challenges, particularly in maintaining production stability, as the T1000's strength exceeds that of T800 by 10%-20% [6]. - A critical issue was identified during production stability tests, where a misselected flow control valve caused fluctuations in the production environment, which was resolved by replacing the faulty component [6]. Group 4: Future Prospects - The successful mass production of T1000-grade carbon fiber signifies a shift from "catching up" to "keeping pace" in the industry, with applications anticipated in national defense, aerospace, rail transportation, and renewable energy sectors [7]. - The research team aims to develop even higher strength T1200-grade carbon fiber and expand its industrial applications, enhancing the material's impact across various fields [7].