12月1日，电动自行车强制性新国标全面落地实施。多地明确，旧国标电动车将停止上牌照，旧版 标准车辆禁止销售。 被称作"史上最严"新国标，在车辆防火阻燃、塑料占比、防篡改、制动性能等关键领域提出更严格 的技术要求，全面提升了电动自行车安全门槛。作为与人们日常出行息息相关的交通工具，电动自行车 正迎来一场深刻的安全变革。 新国标实施后，旧国标车辆还能上路吗？电动自行车的生产、销售、监管等将受何影响？科技日报 记者就此采访了相关部门负责人和业内专家。 第一问："新车"有哪些变化？ 我国电动自行车社会保有量高达3.8亿辆，相当于每4个人就拥有一辆。聚焦电动自行车安全问题， 防起火、防篡改是此次新国标关注的重点。 旧国标车塑料件比例高、阻燃等级低，火灾时释放大量有毒烟雾。据统计，电动自行车火灾造成人 员死亡事件中，80%的死亡是由毒烟雾引发。 工业和信息化部消费品工业司司长何亚琼介绍，此次新国标明确规定，塑料件总质量不得超过整车 质量的5.5%，关键部件如鞍座、电池盒要采用高阻燃材料，挡泥板升级为铝镁合金，并对弹性软垫材 料等分别规定了防火阻燃指标。 针对市场上现存的旧国标库存车辆，多家电动自行车企业明确表示，对于过渡 ...

我国知识产权高效益运用对经济的贡献度持续提升。我国专利密集型产业增加值占GDP比重已超 13%，版权产业增加值占GDP比重近7.5%，地理标志产品直接产值近9700亿元。 科技日报讯 （记者操秀英）"我国已经成为世界上首个国内有效发明专利拥有量超过500万件的国 家，PCT国际专利申请量连续6年位居全球第一。"国家知识产权局近日举行11月例行新闻发布会，介绍 知识产权工作最新进展，国家知识产权局新闻发言人、办公室主任衡付广在会上透露。 国家知识产权局战略规划司司长梁心新介绍，截至2025年6月底，我国每万人口高价值发明专利拥 有量达15.3件，战略性新兴产业发明专利有效量超过140万件，保持较快增长。 最新修改的《专利审查指南》将于2026年1月1日正式施行。据介绍，本次修改健全了新领域新业态 保护制度，进一步激励产业创新，并针对审查实践中亟待解决的问题，优化了审查标准和规则，固化审 查实践中的成熟做法，更好地服务创新主体。其中，人工智能领域专利申请的审查标准得到进一步完 善，首次以"人工智能、大数据"为主题设立专门章节，加强人工智能伦理审查，引导人工智能发展"智 能向善"，适应人工智能技术发展需要和治理需求 ...

Core Viewpoint - The integration of AI in the medical field is significant, but it will not fully replace doctors in the foreseeable future, as human doctors possess unique qualities that AI lacks [2][4]. Group 1: AI Applications in Healthcare - AI has a wide range of applications in healthcare, including converting consultation records into standardized medical records, providing follow-up services, assisting in the screening of eye diseases, and enabling precise surgical interventions [2]. - AI excels in standardized and procedural tasks such as image interpretation, document processing, and health inquiries, becoming a "digital ally" for doctors [2]. Group 2: Limitations of AI - Current AI technologies, particularly large language models, rely on external inputs rather than intrinsic motivation, and they lack true reasoning and causal understanding [2]. - The "black box" nature of AI raises concerns about its interpretability, and it cannot take responsibility for its actions, which is a critical aspect of medical practice [2]. Group 3: Role of Doctors in the AI Era - In the future, doctors will serve as clinical decision-makers, weighing complex factors such as risks, expectations, and economic pressures to make final choices [3]. - Doctors will also act as process designers and communicators, engaging in deep interactions, value choices, and ethical judgments during treatment [3]. - Additionally, doctors will be safety supervisors, responsible for maintaining boundaries in situations with imperfect data and high medical risks [3]. Group 4: Evolving Expectations for Doctors - The AI era will raise the bar for doctors, requiring them to understand, utilize, and explain AI technologies as part of their basic competencies [4]. - Enhanced clinical decision-making and system thinking skills will be essential, along with improved communication abilities and humanistic qualities [4]. - Cross-disciplinary collaboration, process re-engineering skills, and heightened awareness of regulations, ethics, and safety will also be crucial for future doctors [4]. Group 5: Coexistence of AI and Doctors - The relationship between AI and doctors is characterized by coexistence rather than replacement, with doctors expected to be discerning decision-makers, empathetic communicators, and practitioners aware of technological boundaries [4].

Core Insights - The Chinese Academy of Sciences' Aerospace Remote Sensing Center released significant data achievements during the 23rd China Remote Sensing Conference, showcasing 40 years of development in aerial remote sensing data acquisition and application [1] Group 1: Data and Infrastructure - The Aerospace Remote Sensing Center operates a national major scientific infrastructure, the aerial remote sensing system, which includes 4 remote sensing aircraft and has accumulated nearly 5PB of data products over 40 years, with over half of this data already shared for application [1] - The operational footprint of the 4 remote sensing aircraft spans nearly 30 provinces and regions, supporting over 70 domestic and international organizations with various task types including emergency monitoring and natural resource management [1] Group 2: Data Sets and Applications - The conference introduced high-resolution airborne multi-dimensional synthetic aperture radar (SAR) land cover classification, multi-band fully polarized airborne SAR for detailed agricultural classification, and airborne multi-angle optical images with laser point clouds, among other typical data sets [2] - The high-resolution airborne multi-dimensional SAR land cover classification data set has been shown to effectively improve classification accuracy, while the multi-band fully polarized SAR agricultural classification data set demonstrates the feasibility of complementary fusion strategies in agricultural remote sensing [2] - The airborne multi-angle optical images and laser point cloud data set is the first sub-meter level remote sensing dataset for intelligent generation, providing high-precision geometric reference and training data for applications in 3D reconstruction, navigation, and digital twins [2] - The Aerospace Remote Sensing Center has created over 30 typical data sets based on existing aerial remote sensing data, which are shared with the public through a dedicated data sharing portal [2]

Core Viewpoint - The successful launch of the Long March 7A rocket and the deployment of the Shijian-28 satellite mark a significant achievement for China's aerospace industry, showcasing advancements in technology and operational capabilities [1] Group 1: Launch Details - The Long March 7A rocket was launched on November 30 at 20:20 from the Wenchang Space Launch Site [1] - The mission successfully placed the Shijian-28 satellite into its designated orbit, achieving a successful launch [1] - This mission represents the 611th flight of the Long March series of rockets [1] Group 2: Technological Advancements - The Long March 7A rocket is a new generation medium-sized high-orbit liquid launch vehicle developed by the China Aerospace Science and Technology Corporation [1] - The rocket features a 4.2-meter diameter fairing and utilizes a generalized ground measurement and control system for the first time, enhancing the level of standardization and intelligence of ground equipment [1] - The launch also employed a new mobile launch platform, further improving operational efficiency [1]

Core Viewpoint - The 20th Central Committee's Fourth Plenary Session emphasizes the need to improve and implement a nationwide basic pension insurance system, accelerate the development of a multi-tiered pension insurance system, and incorporate "pension finance" into the construction of a strong financial nation [1] Group 1: Challenges in Pension Finance Development - Pension finance is a core driver of high-quality development in the silver economy and an important tool for building a strong financial nation [2] - There is a significant supply-demand mismatch in pension finance, with a projected total scale of the three pillars of pension funds around 15 trillion yuan by the end of 2024, which is less than 12% of GDP [3] - The current pension system shows an imbalance with a dominant first pillar, a weak second pillar, and an emerging third pillar, leading to differentiated needs among various income groups [3] Group 2: Issues in Pension Fund Allocation - The precision of cross-period allocation of pension funds is insufficient, with traditional fund allocation methods lacking flexibility to adapt to dynamic changes in population and economic conditions [3] - The traditional pension industry primarily follows a heavy asset model, which is less attractive to financial capital seeking short-term returns, resulting in a significant funding gap [4] Group 3: AI Empowerment in Pension Finance - Artificial intelligence (AI) can address the challenges in pension finance by optimizing cross-period allocation and enhancing the precision of pension fund planning [5] - AI can empower the silver economy by creating high-growth, high-return industries that provide quality investment targets for pension finance [6] - AI can help match supply and demand more accurately, breaking service coverage limitations and providing free planning and consultation services to low-income groups [7]

Core Insights - The Sichuan power grid has implemented a combination of drones and X-ray inspection robots for the first time to conduct inspections on ultra-high voltage power lines, enhancing operational efficiency and safety [1] Group 1: Technology Implementation - A large cargo drone equipped with an X-ray inspection robot was deployed to inspect the 500 kV Xibin I Line, marking a significant technological advancement in power line maintenance [1] - The robot can complete inspections of all fittings on a four-split conductor in just 10 minutes, significantly reducing the time required for such tasks [1] Group 2: Efficiency and Safety - The new method allows three personnel to complete a task that previously required five people and took three hours, achieving a tenfold increase in efficiency [1] - This approach minimizes the risks associated with high-altitude work, providing a safer alternative for power line inspections [1] Group 3: Future Plans - The "drone + inspection robot" combination will be used for inspections on other critical lines, including the 500 kV Hongban Line and Changtan Line, as well as high-capacity transmission channels to ensure safety during the winter electricity peak [1]

Core Points - The first automatic nuclear power calibration system in the domestic nuclear power industry has been put into operation at Liaoning Hongyanhe Nuclear Power Co., Ltd, significantly reducing calibration time from at least 8 hours to 70 seconds, enhancing response speed by over 400 times [1][2] - The system addresses the common industry issue of measurement accuracy affected by fuel burnup at the end of the fuel cycle, which traditionally relied on manual calculations and adjustments, posing risks of operational errors and power generation losses [1] - The development of the system involved a collaborative team from Liaoning Hongyanhe Nuclear Power Co., Ltd and Suzhou Thermal Engineering Research Institute, overcoming multiple technical challenges over a 20-month period [1] Economic and Safety Benefits - The automatic calibration system is expected to eliminate the risk of human error in operations, providing a more reliable guarantee for the safe and stable operation of the units [2] - It is estimated that each unit can increase power generation by approximately 7.2 million kilowatt-hours during each fuel cycle (about 18 months), enhancing both economic and safety benefits [2]

Core Viewpoint - The launch of the "Wenda" ethical AI model aims to address ethical risks in technology and business decisions, providing a decision support system for various stakeholders in society [1][2]. Group 1: Model Functions and Applications - "Wenda" features five main functions: ethical risk assessment and auditing, ethical dilemma simulation and decision-making, ethical alignment design assistance, dynamic knowledge base and case teaching, and exploration of cutting-edge ethical paradigms [1]. - The model serves as an ethical "auditor" for businesses, automatically reviewing commercial decisions, advertising content, and algorithm models for ethical risks [2]. - It acts as a compliance detection tool for AI development, helping researchers incorporate ethical considerations from the design phase to avoid biases and risks [2]. Group 2: Addressing AI Challenges - "Wenda" aims to systematically identify and assess various ethical risks in AI applications, proposing actionable governance paths from a Chinese context [3]. - The model addresses the issue of "AI hallucination" by utilizing structured knowledge construction, multi-modal responses, layered security mechanisms, and an automatic optimization loop to reduce errors in AI outputs [3][4]. Group 3: Knowledge Structure and Future Development - The model is built on a foundation of classic ethical literature, significant ethical cases in China, relevant laws, and ethical norms from recent social events, forming a "knowledge tree" for structured knowledge output [4]. - Future developments will focus on optimizing human-machine interaction, creating a feedback loop for model iteration, and expanding applications in research, industry, and education to promote the synergy between AI and social ethics [4].

东继业介绍，这台设备的核心在于高度智能化的机器人协作系统。它整合了电脑编程、智能算法与精密 控制技术，由4把可移动的二氧化碳气体保护焊枪和智能机械手臂协同作业。操作人员只需在触摸屏上 轻点"开始"，机械臂便会自动抓取母材送入焊接舱，4把焊枪随即同步启动。它们犹如4位技术顶尖的焊 工，焊得稳、准、快，焊缝均匀美观，质量显著超越人工标准。同时，密闭焊接舱与强力排烟系统彻底 解决了烟尘困扰，让工人告别了以往恶劣的作业环境。 （文章来源：科技日报） 首台设备的成功仅是起点。今年，齐齐哈尔车辆段再次实现技术飞跃，推出了升级版自动焊机。新一代 设备在易用性和效率上再进一步，仅需一人即可操控，实现了从自动上料、精准定位、协同焊接到成品 出库的全流程无人化智能作业。这不仅极大降低了人工成本与劳动强度，更将生产效率推向了新高度。 记者近日走进我国最北端铁路货车检修基地——中国铁路哈尔滨局集团有限公司齐齐哈尔车辆段。在这 里，智能机器人成为检修主力：四只不知疲倦的"机械巧手"组成的高效"焊匠"，以远超人工的稳定性与 精准性，将单扇敞车下侧门的焊接时间从15分钟大幅压缩至仅3分钟，日焊修量从30扇飙升至120扇，效 率提升高达40 ...