Group 1: Innovation in Pharmaceuticals - China has made significant progress in innovative drug development, with the number of approved new drugs increasing from 4 in 2015 to 37 in 2024, and the proportion of first-in-class drugs rising from 4% to 38% [1] - Despite the advancements, challenges such as lack of original theories and technologies, intense competition, changing international environments, and payment system issues pose risks to sustainable industry growth [1][2] Group 2: Development of eVTOL Industry - The eVTOL industry in China is rapidly developing, with a competitive landscape and a leading position globally [2] - Key challenges include distributed propulsion aerodynamics, high-energy power sources, and safety control in complex environments, with a focus on smart technology as a solution [2] Group 3: Quantum Computing and Technology - The development of quantum technology is highlighted as a path for differentiation, with a focus on solid-state quantum computing and scientific instrument research [3] - Emphasis on the need for independent research and development of scientific instruments to strengthen China's position in technology [3] Group 4: Brain-Computer Interface Advancements - Brain-computer interfaces are categorized into brain control and brain modulation, with applications in aiding patients with movement disorders and treating mental health conditions [3] - Non-invasive techniques for brain modulation are being explored, which could avoid the side effects associated with traditional invasive surgeries [3] Group 5: Overall Technological Landscape - The reports from the four academicians reflect China's technological self-reliance and the realities of global technological competition, emphasizing the need to confront challenges to maintain leadership in disruptive innovation [4]

Core Viewpoint - The implementation of the new national standard for sterilized milk in China marks a transition to 100% fresh milk as the raw material, prohibiting the use of reconstituted milk in its production [1][2]. Group 1: New Standards and Regulations - The new standard specifies that sterilized milk can only be produced using fresh milk, eliminating the allowance for reconstituted milk [1]. - Products made from reconstituted milk are not permitted to be labeled as "pure milk" or "pure dairy" [1]. Group 2: Differences Between Fresh Milk and Reconstituted Milk - Reconstituted milk is defined as milk made by rehydrating milk powder, which has undergone two rounds of ultra-high temperature treatment, leading to significant nutrient loss, particularly of heat-sensitive vitamins [2]. - Fresh milk retains more natural nutrients, enhancing the product's freshness and nutritional value compared to reconstituted milk [2]. Group 3: Market Implications - The new standard only affects sterilized milk, allowing other dairy products like yogurt and modified milk to continue using reconstituted milk [2]. - The shift to fresh milk is supported by the increasing domestic production of fresh milk, positioning China among the top producers globally [2]. Group 4: Consumer Guidance - Consumers are advised to check the nutritional content on packaging, ensuring that full-fat milk meets the national standards for protein and fat content [3]. - Quality indicators for sterilized milk include color, consistency, and taste, with high-quality products exhibiting a creamy white or slightly yellow color, uniform liquid state, and pleasant flavor [3].

Group 1 - AI voice synthesis technology has reached a new stage, producing "cloned voices" that are indistinguishable from real recordings [1] - The research team generated two types of synthetic voices: one mimicking specific speakers and another from large voice models not targeting individuals [1] - The study found that the realism of "cloned voices" is comparable to real human voices, with some AI-generated voices even surpassing real recordings in credibility [1] Group 2 - The rapid development of AI voice technology presents innovative opportunities in education and human-computer interaction, enhancing user experience with high-quality synthetic voices [2] - However, the rise of synthetic voices poses ethical, copyright, and security challenges, particularly concerning misinformation, fraud, and identity theft [2]

大会期间，由联合国国际贸易中心与数贸会组委会共同编写的《全球数字贸易发展报告2025》发 布。根据报告编制团队测算，中国数字贸易出口7937亿美元，同比增长10.7%，推动全球数字贸易向更 为多元、均衡的方向迈进。该报告显示，数字贸易格局更趋多元，欧盟、美国、中国、英国、印度等经 济体位列全球前五。 在跨境电商领域，目前我国已与36个国家建立电子商务合作机制，打造120余个线上线下国家馆。 本届数贸会期间，2025"丝路电商日"活动邀请"丝路电商"合作伙伴国及共建"一带一路"国家政府代表、 驻华使节、学者、客商等，开展资源对接和创新对话。 "通过大会官方平台'数贸在线'，我们提前就智慧城市技术、可持续城市解决方案等方面项目下了 单，在展会上还将寻求更多合作伙伴。"9月28日，谈及参加第四届全球数字贸易博览会（以下简称"数 贸会"）的前期工作，印度尼西亚市政协会执行董事阿尔维斯·鲁斯塔姆告诉科技日报记者。 9月25日至29日，第四届数贸会在浙江杭州举行。大会规模、影响和热度均超越往届，4.2万余名专 业客商到会采购，其中国际客商超1万名，较2024年增长超50%。 "数字贸易展现出强劲的发展韧性，对全球贸易的模 ...

9月24日，记者从国网宁夏电力有限公司银川供电公司获悉，宁夏首款配电网智能巡检"机器狗"日前在 银川正式投入运行，宁夏配电网巡检向智能化、高效化迈出关键一步。 近年来，国网宁夏电力有限公司持续加大科技创新力度，有效推动电网运维智能化升级。目前，宁夏电 网变电站智能巡检覆盖率达93.93%，110千伏及以上架空输电线路适航区无人机自主巡检实现全覆盖， 配电网线路自主巡检覆盖率达100%。此次智能巡检"机器狗"的投运，是在配电网电缆通道巡检领域的 又一次创新实践，有望助力宁夏电网智能化运维迈上新台阶。 下一步，国网宁夏电力有限公司银川供电公司将梳理创新成果，总结经验，持续探索和深化人工智能技 术在各领域的融合应用，发挥智能设备作用，不断提升电网运维智慧化水平，为地方经济社会发展和人 民群众的美好生活提供更加坚实可靠的电力保障。 （文章来源：科技日报） 此次投运的智能巡检"机器狗"配置在110国道闽宁镇段（福宁路—金沙路）500米的智慧化改造电缆通道 内。它具备手动遥控操控和自助巡检功能，搭载高清云端摄像头和红外测温设备，如同拥有"火眼金 睛"，可精准检测电缆运行中的异常过温情况，40分钟内即可完成通道巡检任务，每 ...

搭载红外热成像仪的机器人，展示着化工设备温度异常预警功能；不远处的展台上，操作员演示着无代 码AI平台，该平台让工厂设备自主预测维护需求……这是科技日报记者在2025（第二十二届）中国国 际化工展览会现场看到的景象。 9月17日至19日，这场汇聚近800家企业的展会在上海新国际博览中心举行。展会由中国石油和化学工业 联合会主办，中国国际贸易促进委员会化工行业分会和中国化工信息中心共同承办，聚焦绿色低碳、高 端智能发展趋势，全面展示中国化工产业创新成果，助力全球化工行业高质量发展。安全是化工行业 的"生命线"，一系列AI创新应用正在为化工安全装上"智能护盾"。 全链条保障企业安全生产 当前，众多AI相关企业正加强与化工企业合作，通过对数据的分析和挖掘，为训练AI模型提供支撑。 这预示着AI将深刻改变化工行业的生产、研发和产品创新模式。 展会上，达智汇科技服务（苏州）有限公司自主研发的伏羲工业AI平台吸引了众多观众的目光。该平 台集成机器学习、深度学习和生成式AI三大技术，支持无代码开发，可大幅降低AI应用门槛。平台还 搭配数字教练服务，可助力企业在90天内自主构建AI能力，实现从数据洞察到智能决策的全流程覆 盖 ...

在新疆阿勒泰广袤的牧区，智慧项圈正在草原上织起一张"畜联网"。 "我们积极应用物联网技术，通过实时监测动物健康、环境参数和养殖过程，将运动量、采食量、繁殖 性能等数据上传到智慧平台；同时，通过智慧牧场大数据平台建立牲畜档案，管理血缘关系谱，避免近 亲繁殖，优化种群基因。"中国移动新疆公司智慧畜牧项目相关负责人说。 近日，科技日报记者跟随"移起向新数智兴农"主题采访活动来到新疆阿勒泰地区青河县萨尔托海乡别斯 铁热克村，看到牧民木拉提·毕木拉家的骆驼正在排队等待挤奶。他家养了80多头骆驼，一头成年骆驼 市场价约3万元。以前，放养的骆驼一旦走失，得骑摩托车到处找；现在，打开手机，骆驼的实时位置 一目了然。 （文章来源：科技日报） 在阿勒泰，传统畜牧养殖存在"三难"：牲畜管理难、个体信息更新难、批量采销难。为解决牲畜丢失、 防疫体系建设、畜群谱系维护等方面的难题，中国移动利用"5G+AI+物联网"技术，形成牲畜识别、牲 畜体征监管、牧场信息化升级、牲畜产品溯源等能力，推出多种产品及监管方案，可将畜牧管理日常工 作效率提升40%，节约30%人工巡检管理成本。 自2022年起，阿勒泰地区农业农村局与中国移动新疆公司联合推 ...

Core Insights - The collaboration aims to develop intelligent robots for mining, integrating autonomous navigation, multi-modal environmental perception, gas detection, and emergency response capabilities [1][2] - A joint research laboratory for specialized mining robots has been established by Shanxi Coking Coal Energy Group, Shanxi Keda Control Group, and Hangzhou Yushu Technology [1] - The partnership signifies the formation of an innovative consortium focused on technology research, pilot transformation, and practical application in mining [1][2] Technology Development - Hangzhou Yushu Technology will provide high-performance robotic bodies, while the Hangzhou AI Application Pilot Base will facilitate rapid technology transformation for harsh underground environments [2] - The consortium aims to address key issues of technology usability and effectiveness in mining operations [2] Application and Safety - Shanxi Coking Coal Energy Group will provide real underground application scenarios for testing and validation, ensuring the robots meet safety production standards [2] - Shanxi Keda Control Group will handle system integration and safety certification, focusing on compliance with coal mine safety regulations [2] Strategic Importance - The collaboration is seen as a direct response to the "Artificial Intelligence +" initiative, combining technological advantages with market needs in Shanxi [2]

Core Viewpoint - Computing power is the engine of the digital economy, becoming a core resource in the intelligent transformation of society, especially with the rise of AI models [1] Group 1: Current State of Computing Power in China - As of June 2023, China's total number of operational computing power centers reached 10.85 million standard racks, with intelligent computing power at 788 EFlops, ranking among the top globally [1] - The rapid iteration of AI raises concerns about insufficient computing power [1] Group 2: Huawei's Strategy - Huawei is adopting a differentiated path by constructing a new computing supply system based on "super nodes + clusters" to address the increasing demand for computing power and external limitations in chip manufacturing [2] - The "super node" concept integrates computing chip resources to create a low-latency, high-bandwidth computing entity, enhancing computing efficiency for training and inference of large models [2] - Huawei's latest super node products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, support 8,192 and 15,488 Ascend cards respectively, with the computing power scale of the new clusters exceeding 500,000 and reaching 1 million cards [3] Group 3: Future Outlook and Innovations - Huawei aims to innovate systematically with the "super node + cluster" approach, providing sustainable and scalable computing power for China's AI development [3] - The company plans to advance its computing capabilities at a pace of nearly one generation per year, doubling the computing power each time [3] - Huawei has introduced the UnifiedBus protocol to overcome technical bottlenecks in large-scale super node interconnection, promoting an open ecosystem for computing power [5][6] Group 4: Open Source and Ecosystem Development - Huawei is committed to open-sourcing its Ascend hardware to accelerate developer innovation and build a robust ecosystem [6] - The trend towards open-source technology is seen as essential for the construction of a computing ecosystem, with significant implications for reducing computing costs and fostering comprehensive system innovation [6][7] - Recent government policies are aimed at strengthening the open-source landscape, providing a supportive environment for the development of the computing ecosystem in China [7]

Core Insights - A research team from the University of Michigan has developed a new algorithm based on physics that allows micro nuclear reactors to autonomously adjust their output power on demand [1] - The research indicates that several startups and traditional companies in the U.S. are actively promoting the short-term deployment of micro nuclear reactors, making this new development economically viable [1] Group 1: Micro Nuclear Reactor Advantages - Micro nuclear reactors can achieve a thermal output of up to 20 megawatts and are advantageous due to their transportability and versatility, suitable for remote communities, disaster areas, military bases, and cargo ships [1] - When connected to the grid, these reactors can provide stable zero-carbon energy [1] Group 2: Challenges and Solutions - A key challenge for micro nuclear reactors is the need for "load-following" capability, which allows them to dynamically adjust output power based on actual demand, unlike large nuclear power plants that rely on manual adjustments [1] - The research focuses on high-temperature gas-cooled reactors, which can be flexibly scaled, and a simplified model was constructed to retain core parameters such as power density and coolant inlet temperature [1] Group 3: Control Algorithm Development - The team employed Model Predictive Control (MPC) to predict and optimize system behavior within set constraints and time frames [2] - A specially designed MPC controller adjusts power by regulating the rotation angle of the reactor's central control drum, with inward rotation decreasing power and outward rotation increasing it [2] - Testing showed that the control algorithm maintained an error of less than 0.234% in tasks requiring a 20% power increase or decrease per minute, demonstrating high accuracy without the use of artificial intelligence [2]