Core Viewpoint - The Ministry of Education has issued a notification to enhance teachers' digital literacy, emphasizing the integration of digital and artificial intelligence technologies to build a high-level teaching workforce in the new era [1][3]. Group 1: Digital Literacy Requirements - The notification states that digital literacy will be included in the qualification exams for primary and secondary school teachers, marking a shift from being an "additional item" to a "basic item" in teacher qualifications [3]. - High-level teacher digital literacy encompasses multiple dimensions, including digital awareness, technology application, teaching innovation, and social responsibility, which are crucial for enhancing teaching effectiveness [2][3]. Group 2: Implementation and Training - Schools are encouraged to conduct comprehensive training for teachers on artificial intelligence and digital literacy, aiming to eliminate resistance and fear towards digital technologies [6]. - The notification outlines the need for systematic and high-standard training programs in normal universities, integrating AI ethics and data security into the curriculum to enhance teachers' awareness and capabilities in using technology [7]. Group 3: Collaboration and Innovation - The notification promotes collaboration between educational institutions and technology companies to develop AI tools that are more suitable for teachers, enhancing their ability to create engaging learning environments [6]. - Schools are exploring various digital technology application scenarios, such as holographic teaching classrooms and VR/AI experimental centers, to facilitate teachers' training in digital skills [5].

Core Insights - The successful experiment marks a significant milestone in the development of high repetition frequency extreme ultraviolet free electron laser technology in China [1][3] - The project, initiated in 2020, has been supported by the Dalian municipal government and involves a collaborative team from Dalian Institute of Chemical Physics and Shenzhen Advanced Light Source Research Institute [1] Group 1 - The research team, led by Academician Yang Xueming and researcher Zhang Weiqing, achieved a stable output of 1 million Hertz repetition frequency electron beam flow [1] - Key technologies developed include photonic cathode electron gun, ultrafast laser system, solid-state RF power source, superconducting accelerator, and low-temperature liquid helium system [1] - The testing platform has achieved a stable acceleration operation of 0.1 milliampere average current electron beam, with energy exceeding 100 million electron volts and pulse charge greater than 100 picocoulombs [2] Group 2 - The platform demonstrated stable operation for 1 hour with energy stability better than 0.01% (RMS) [2] - The success of this experiment is crucial for advancing the construction and research of high repetition frequency free electron laser devices in China [3]

Core Viewpoint - The United Nations' negotiations for a legally binding agreement on plastic pollution have commenced, highlighting the urgent need for international cooperation to address this growing crisis [1][2]. Group 1: Health Impact of Plastic Pollution - A recent study published in The Lancet indicates that plastic pollution poses a significant and underappreciated threat to human health, resulting in economic losses related to health of at least $1.5 trillion annually [1]. - The study reveals that plastic pollution affects all stages of human life, from newborns to the elderly, and is linked to diseases and even death, categorizing it alongside air pollution and lead poisoning in terms of health risks [1]. - Microplastics have infiltrated natural ecosystems and human tissues, with scientists confirming their potential hazards, although comprehensive health impacts are still under investigation [1]. Group 2: Plastic Production and Recycling - Global plastic production has surged exponentially, increasing from 2 million tons in 1950 to 475 million tons in 2022, with projections suggesting a further doubling by 2060, while the current recycling rate remains below 10% [1]. Group 3: Interconnection with Climate Crisis - The plastic crisis is intrinsically linked to the climate crisis, as the plastic industry, reliant on fossil fuels, contributes to both environmental challenges, with health risks expected to escalate alongside rising global temperatures and increasing plastic production [1]. Group 4: Call for Action - The report urges representatives at the Geneva conference to seize this historic opportunity to seek consensus amidst differences and establish an effective international cooperation mechanism to combat this global crisis [2].

对于山东康达永创仪器设备有限公司市场开发部经理戴鹏鹏而言，量子技术"看得见、摸得着"。"精密 传感器是我们的产品之一，但此前一直面临着微弱信号放大的难题。"戴鹏鹏说，潍坊学院量子技术团 队基于数字锁相放大器的微弱信号放大与检测技术展开研发，实现了强噪声背景下对微弱信号的检测突 破，解决了这一难题。 这是潍坊学院量子技术团队创新成果应用的最新案例，也是该校作为地方性高校在学科竞争中实现突围 的一个缩影。近日，科技日报记者走进潍坊学院量子技术团队所在的物理与电子信息学院，了解他们的 创新故事。 拥有大规模实验设施 记者见到潍坊学院物理与电子信息学院院长曹连振时，他带领团队正在攻关山东省联合基金重点项目 ——"基于光子多自由度调控的高维光量子门的实验与应用研究"。此时，实验已进行到关键时刻。提升 量子计算性能、提高量子精密测量精度、增强量子器件效能是团队的三大目标。 当年，中国科学技术大学校友、潍坊学院物理与电子信息学院老院长逯怀新，联系到当时刚学成回国不 久的中国科学技术大学教授潘建伟。在潘建伟的帮助下，潍坊学院的量子技术研究平台逐渐建立起来。 曹连振说，在技术层面，光量子实验室以中国科学技术大学量子团队的指导方 ...

Group 1 - The "Lithium Green Action" research team from Jiangxi University of Science and Technology has successfully developed a short-process green recycling technology for waste lithium batteries, addressing the challenge of efficient lithium resource recycling [1] - The new technology has been applied in multiple enterprises in Jiangxi, processing a total of 17,000 tons of waste batteries and generating over 170 million yuan in new value [1] - The team introduced the "waste-to-waste" concept to overcome the challenges of traditional lithium battery recycling, which include high reagent consumption in wet processes and lithium loss during fire smelting [1] Group 2 - The team pioneered a flue gas resource utilization technology that achieves a lithium extraction rate exceeding 97% by directly introducing flue gas from battery roasting into the leaching solution of cathode materials, reducing lithium extraction costs by approximately 20% compared to traditional methods [1] - The "layered roasting technique" was developed to efficiently destroy the stable structure of lithium cobalt oxide during fire recovery, resulting in a 66.71% reduction in water leaching residue, thereby lowering the recovery difficulty and costs for valuable metals like cobalt and nickel [1] - In processing lithium iron phosphate batteries and sulfur-containing waste, the team innovatively combined waste lead-acid battery recovery with waste lithium iron phosphate battery smelting, achieving lithium recovery rates of 96% and lead recovery rates of 98%, while also fixing sulfur with a 99% fixation rate [2] Group 3 - The collaboration with companies like Jiangxi Tianqi Jintai Ge Co., Ltd. has led to an additional value of over 40 million yuan in two years through the application of the waste lead paste co-smelting technology [2] - The team's lithium extraction technology for ternary batteries has processed 12,000 tons of waste batteries at Ganzhou Yihai Xing Company, generating economic benefits of 170 million yuan [2] - The team has applied for seven national invention patents in the battery recycling field, with two granted, and one international patent application, aiming to inject new momentum into the lithium battery recycling industry in Jiangxi Province [2]

"在峰岚杯文艺大赛中，我作为主演，用话剧展现科研人员探索真理的过程……"近日，在大连理工大学 计算机教室，未来技术学院2024级学生苑景琪对着屏幕中的数字人评委，讲述自己一年来的成长经历。 她所使用的是学院学生创业团队自主研发的AI人机问答评价系统，用于学生综合素质评价答辩环节。 在答辩过程中，系统先对学生上传材料的内容逻辑与表达结构进行分析，再通过语音识别技术迅速捕捉 陈述信息，随后基于学院育人理念和教师形象训练而成的高度仿真数字人评委，针对陈述的关键点发起 追问。 （文章来源：科技日报） 支撑该系统底层运行逻辑的，是学院研制的学生综合评价指标体系。该体系以学生成长为中心，将培养 目标细化为"八大核心维度"，涵盖政治素养、科技创新、文体素养、领军能力等400余项指标。学院党 委副书记孙智妍表示："学生综合素质评价改革的核心在于'以评促长'，聚焦创新思维、领导力、社会 责任感等关键能力，引导学生在学习和实践中不断突破。" 该体系采用"客观+主观"双维评价模式。客观评价涵盖基础能力、创新能力和多元素质三大模块；主观 评价依托AI人机问答系统进行成长答辩。系统通过智能分析生成指标分析报告、能力雷达图和个人发 展画 ...

韩国产业通商资源部近日发布了"下一代电网建设方向"，核心内容是顺应可再生能源利用领域扩大的趋 势，将电网基础设施转向以地区为单位的小规模电网，并实现更高效的电力生产与消费双向系统。 韩国总统李在明近期在主持第六次首席秘书官会议时表示，必须全力构建以可再生能源为中心的电网基 础设施体系。韩国产业通商资源部此次公布的计划与以往由大型发电机发电并向全国各地单向输送的传 统电网不同，下一代电网通过双向系统，将在各地区生产的可再生能源输送至附近的用电地，多余电力 再反馈至输电网络。通过"地产地销"的用电模式，有效应对可再生能源的波动性。 韩国政府决定将拥有韩国最丰富太阳能与风力资源的全罗南道作为首个示范区，率先指定其为"分布式 能源特别区域"，适用《电力事业法》与电力市场相关的部分规制特例。同时，将通过国家层面的研发 投资，加快智能电网系统、长周期储能系统等核心技术的开发进度。在当地产业园区和大学校园内，将 构建定制型微电网，对相关技术进行多样化验证。 韩国总统室表示，微电网示范项目规模约为2000亿韩元，计划纳入2026年韩国政府预算案。 （文章来源：科技日报） ...

Core Insights - AI systems are quietly transforming urban energy landscapes by optimizing geothermal heating systems and integrating renewable energy sources [1][2][3] Group 1: AI in Energy Management - AI is creating a smart energy network by integrating solar panels, wind turbines, and geothermal systems, exemplified by South Africa's Oya hybrid power station, which supplies stable power to 320,000 households [2] - In New York, Con Edison utilizes battery storage systems to release energy during peak demand, reducing reliance on polluting peak power plants, while advanced AI software optimizes grid voltage and predicts equipment failures [2] - Capalo AI's virtual power plant in Finland intelligently schedules distributed battery charging and discharging based on price fluctuations and local consumption patterns, generating additional revenue for battery owners and enhancing grid stability [2] Group 2: Smart Heating and Cooling - In Munich, AI monitors soil temperature and humidity to optimize geothermal heating systems, adjusting heat distribution based on occupancy and weather conditions, effectively doubling warmth output without increasing energy input [4] - This technology is applicable to cities with established geothermal networks, such as Winnipeg and Reykjavik, providing energy-efficient solutions during harsh winters [4] Group 3: Innovations in Transportation - In California, the "Vehicle-to-Grid" project showcases AI's role in energy management, where electric school buses act as mobile energy storage, feeding power back to the grid during peak times [6] - Google's AI algorithms have reduced cooling energy consumption in data centers by 40%, demonstrating AI's efficiency in managing energy systems [6] - The establishment of the "Open Power AI Alliance" aims to develop open-source AI models for the power industry, facilitating rapid deployment of smart energy systems in resource-limited cities [6]

《贵阳市算力产业促进条例》首次以地方性法规形式明确"算力产业"内涵，其涵盖"算力基础设施建 设、软硬件研发制造、技术创新、服务应用及安全保障"等全链条体系。《贵阳市算力产业促进条例》 共五章三十二条，其中明确：县级以上人民政府及其有关部门应当采取措施促进算力产业和相关配套产 业协同发展，建立完善算力产业链。同时，对"开展协同立法，强化区域一体化发展""锚定'智算优先'， 打造全国智算产业新高地""强化跨区域算力协作，释放资源配置新动能""调动经营主体积极性，激发算 力市场新活力"等方面，《贵阳市算力产业促进条例》也作出了相应的规定。 算力产业是数字经济发展不可或缺的基础支撑和核心引擎。近年来，作为全国首个国家大数据综合试验 区的核心区，贵阳市、贵安新区立足自身优势，加快推进算力产业发展。目前，贵安新区已成为全国国 产化智算资源最多、能力最强的地区之一。 贵州省贵阳市率先在全国开展算力方面的地方立法，为算力产业依法有序发展提供法治保障。记者近日 从《贵阳市算力产业促进条例》新闻发布会上获悉，《贵阳市算力产业促进条例》于8月1日起施行，此 举为国家和省级层面开展相关立法工作提供可借鉴的实践经验。 （文章来源：科技 ...

Core Insights - The establishment of China's first intelligent demonstration line for rare earth disc motors marks a significant advancement in high-end rare earth permanent magnet motor research and industrialization, opening a new competitive landscape globally [1][2] Group 1: Product Development - The first product from the demonstration line is a micro rare earth permanent magnet axial flux motor, which is only 6mm thick and has a power output of 3 watts, reducing size by 60% and weight by 80% compared to similar products [1] - This motor achieves an impressive rated speed of 4500-5500 RPM, a maximum torque of approximately 15 mN·m, and over 70% efficiency, exemplifying the concept of "small size, big energy" [1] Group 2: Production and Capacity - The demonstration line is expected to achieve mass production by the end of this year, with an annual production capacity of 500,000 units [2] - The establishment of this line is a result of deep integration of production, education, research, and application, signaling a quiet revolution in the micro motor sector [2] Group 3: Future Applications - The research team has established cooperation intentions with well-known domestic automotive companies, with the product set to be first applied in automotive intelligent cockpit cooling systems [1] - Future application scenarios for the motor will extend to consumer electronics, air conditioning clothing, drones, and robotic joint modules [1]