Core Viewpoint - A new mRNA vaccine platform developed by researchers at Yale University aims to significantly enhance immune responses and expand the application potential of mRNA vaccines in various disease prevention and treatment [1][2]. Group 1: Vaccine Technology - The new technology, named "Molecular Vaccine Platform" (MVP), addresses the issue of antigen exposure by adding a "cellular GPS" module to mRNA-encoded proteins, guiding them efficiently to the cell surface [1][2]. - The "cellular GPS" module consists of natural membrane protein elements, including signal peptides and transmembrane anchors, which ensure stable expression of proteins on the cell membrane [2]. Group 2: Experimental Results - Laboratory tests on various pathogens, including monkeypox, human papillomavirus (HPV), and varicella-zoster virus, demonstrated stronger antigen expression, higher antibody levels, and more active T-cell responses [2]. Group 3: Future Applications - Researchers are working to expand this technology to broader disease areas, including cancer, AIDS, and autoimmune diseases, aiming to transition mRNA technology from infectious disease prevention to comprehensive medical applications [2][3]. - The MVP technology is expected to accelerate the development of new vaccines, reduce research and development costs and timelines, and elevate vaccine technology to new heights [3].

国务院近日发布《关于深入实施"人工智能+"行动的意见》（以下简称《意见》），从重点行动领 域、基础要素支撑、组织实施等方面，针对实施"人工智能+"行动进行了全面部署，对于充分利用人工 智能创新成果、更好推动人工智能赋能高质量发展具有重要意义。 人工智能领域呈现三大新趋势 让AI从"新技术"变为"新基建" 推动人工智能与实体经济深度融合，使其从"新技术"变为"新基建"，一方面需要持续加强关键核心 技术攻关，提升基础要素保障能力，构建良好的创新生态；另一方面需要从技术驱动转向场景驱动，面 向真实行业需求，从安全治理、金融支持等多方面为落实"人工智能+"行动做好有效支撑。 一是强化算力、数据、模型保障，实现"人工智能+"自主发展。我国高端算力芯片技术仍有较大提 升空间，算力资源地域分散、生态碎片化，需要从模型架构到训推框架再到算力集群，深度实现软硬协 同工程创新，发展异构混训技术，建设物理智能基础设施，打造全国算力一张网，提升算力资源统筹调 度能力，有效支撑国产高性能大模型研发。此外，推理大模型、强化学习训练、高价值应用等都带来高 质量数据需求的快速增长，需要进一步盘活现有资源并发展增量资源，完善数据版权制度、加强 ...

最新数据表明，这一环状尘带由晶体硅酸盐（如石英）以及不规则形态的尘粒构成。这些尘粒的大 小约为百万分之一米，以宇宙尘埃的标准来说，这已经相当大了，意味着它们经历了长时间的生长过 程。 实际上，这条环状致密尘带遮住了星云的中心恒星，即一颗类似太阳的恒星遗留下来的古老核心， 正是它为星云提供能量，使其发光。该恒星温度高达22万开尔文，是银河系中已知最炽热的行星状星云 中心恒星之一。 团队还发现，蝴蝶星云中既有在相对平静环境下形成的冷晶体，也有在剧烈环境下形成的无定形尘 埃，二者同时出现，为科学家理解行星基本材料如何聚集提供了关键证据。 科技日报讯 （记者张佳欣）英国卡迪夫大学团队利用詹姆斯·韦布空间望远镜（JWST）对蝴蝶星云 （NGC 6302）进行观测，揭示了其核心区域复杂的宇宙尘埃结构。相关论文8月26日发表于《皇家天文 学会月刊》，为研究地球及其他岩质行星的起源提供了重要参考。 蝴蝶星云位于天蝎座，距离地球约3400光年。它属于"双极星云"，也就是说它有两个向相反方向展 开的"气体叶片"，构成了蝴蝶的"翅膀"；而中间一条环状的致密尘带，则形成了蝴蝶的"身体"。 这次观测还发现碳基分子多环芳香烃，可能与生命 ...

该研究由瑞典隆德大学联合丹麦哥本哈根大学、美国纽约大学和英国剑桥大学共同完成。他们聚焦 于一类名为LINE-1（L1）的转座子，这类重复序列可在基因组中移动，曾被认为具有潜在破坏性且难 以研究。研究团队此次利用诱导多能干细胞和脑类器官，即在实验室中培育的微型人脑模型，结合 CRISPR基因编辑与高通量测序技术，选择性地让L1序列沉默，观察其对大脑发育的影响。 科技日报讯 （记者张梦然）长期以来，人类基因组中约98.5%的非编码DNA被视为"垃圾"，因为它 们缺乏明确功能。然而越来越多的研究表明，这些区域在基因调控、发育过程和进化中扮演着关键角 色。发表于最新一期《细胞·基因组学》的研究中，一个国际团队结合类器官与"基因魔剪"技术，阐明 了重复DNA序列——特别是被称为"跳跃基因"的转座子，如何在人类大脑早期发育中发挥积极作用。 该研究为深入理解脑部疾病提供了全新视角。 研究发现，这些重复序列并非如过去认为的那样"无用"，而是在人类干细胞中具有活跃功能。当L1 被关闭后，相关基因的表达出现紊乱，脑类器官的正常生长也受到显著干扰。这表明L1转座子在调控 神经发育过程中发挥着重要作用。从进化角度看，这类活动可能有助 ...

Core Insights - The strategic value of computing power has transcended mere technology, becoming a key variable in reshaping industry structures, with China's AI-related ICT market investment expected to reach 1.6 trillion yuan by 2025 and 3.5 trillion yuan by 2028 [1] - The rapid evolution of large model technology is driving industries towards digital and intelligent transformation, presenting challenges such as "computing power selection difficulties" and "ambiguous transformation paths" for many enterprises [1][2] - The demand for autonomous innovative computing power is rapidly increasing in the Chinese market, projected to occupy nearly half of the market share by the end of this year [4] Industry Trends - As of June 2023, China's total computing power ranks second globally, with 10.85 million standard racks in use and an intelligent computing power scale of 788 EFLOPS [2] - The traditional IT architecture is struggling to meet the high demands of AI in terms of computing power, data, and real-time processing, leading to the emergence of "data islands" [2] - The shift in computing demand structure from training to inference is driving the rise of autonomous innovative computing power, which is expected to accelerate the industry's move towards intelligence [4] Technological Developments - The new AI transformation era is characterized by the need for computing facilities to possess high-performance multi-core processing capabilities and AI application acceleration technologies [3] - Huawei's computing industry in China is projected to grow by 80% in 2024, with the Kunpeng and Ascend platforms playing crucial roles in various sectors such as government, finance, energy, and transportation [5] Solutions and Frameworks - Huawei has developed an "Industry Intelligent Reference Architecture" to help enterprises find suitable upgrade paths for their digital and intelligent transformation, consisting of five layers: intelligent perception, intelligent connection, intelligent foundation, intelligent platform, and AI models [7][8] - The "Three Layers, Five Stages, Eight Steps" methodology provides a comprehensive roadmap for enterprises, detailing the levels, stages, and specific tasks involved in the transformation process [8] Collaborative Efforts - Huawei aims to leverage partnerships to extend the advantages of Kunpeng and Ascend technologies to a wide range of industries, emphasizing the importance of collaboration in achieving widespread intelligent solutions [9] - The company plans to continue investing in computing technology and strengthen its partner ecosystem to drive innovation and accelerate the digital transformation process across various sectors [9]

Core Viewpoint - The emphasis is on strengthening national strategic scientific and technological capabilities, promoting organized and systematic basic research, and enhancing the role of enterprises in funding basic research [1] Group 1: Characteristics of Corporate Basic Research Investment - Corporate basic research investment has a significant "self-sufficiency" characteristic, with 79.2% of the total basic research funding in the U.S. in 2023 coming from enterprises themselves [2] - There are notable industry characteristics in corporate basic research investment, with the average research investment in China's manufacturing sector being 2.6 billion yuan in 2023, significantly higher than the 800 million yuan in non-manufacturing sectors [2] - The primary motivation for corporate basic research investment is innovation profitability, as enterprises aim to enhance market competitiveness and profitability [3] Group 2: Current Issues in Corporate Basic Research Investment in China - Despite a significant increase from 1.14 billion yuan in 2015 to 18.63 billion yuan in 2023, corporate basic research investment still represents only 8.3% of total social basic research investment in 2023 [4] - In 2023, corporate basic research investment accounted for only 0.7% of total R&D expenditure, even when including applied research, the combined percentage is just 3.5% [5] Group 3: Strategies to Enhance Corporate Basic Research Investment - It is essential to provide sufficient motivation for enterprises to invest in basic research by creating a fair competitive market environment and ensuring legal rights for profit from technological innovations [7] - Multiple measures should be taken to guide corporate investment in basic research, including financial incentives and optimizing talent flow between enterprises and research institutions [8] - Deep integration of industry, academia, and research is crucial to improve the effectiveness of corporate basic research investment, encouraging enterprises to engage in strategic research problem setting and application exploration [8]

Group 1 - As of July 2023, China has built 4.598 million 5G base stations and over 30.53 million gigabit network capability ports, achieving "gigabit access in every county and 5G access in every township" [1] - The Ministry of Industry and Information Technology (MIIT) emphasizes four upgrades in the new information infrastructure: comprehensive coverage and leading performance, integration of computing and networking, resource sharing and green energy efficiency, and urban-rural integration [1] - The MIIT is focusing on strengthening core technologies, enhancing industrial chain resilience and security, and achieving breakthroughs in key technology areas, with significant progress in the 5G industry chain [1] Group 2 - Emerging fields such as artificial intelligence and satellite internet are accelerating, with rapid development of open-source models like DeepSeek and the establishment of satellite constellations [2] - Major Chinese telecom companies, including China Mobile, China Telecom, and China Unicom, rank 1st, 7th, and 8th globally among operators, while several device manufacturers like Huawei have become global leaders [2] - The information and communication industry is characterized by high R&D investment, advanced technology, and strong innovation, playing a crucial role in supporting new industrialization and the integration of the real economy with the digital economy [2] Group 3 - The MIIT will continue to promote network construction and upgrades, enhance 5G and gigabit optical network coverage, and accelerate the deployment of 5G-A and ten-gigabit optical networks [3] - The MIIT aims to implement large-scale 5G applications and promote collaboration between the information communication industry and artificial intelligence [3] - The MIIT is also focused on technological innovation, pushing for the deployment of 5G-A products and advancing 6G technology research [3]

草畜平衡智能监管终端由兴安盟联合国家农业信息化工程技术研究中心、北京市农林科学院、内蒙古自 治区农牧业科学院等科研机构共同研发。它集成物联网、大数据与人工智能技术，实现草原植被实时监 测与载畜量动态评估，助力草原放牧智能化管理与草畜资源科学利用。其低空巡航终端基于无人机，集 成高清图像实时拼接、低信号智能回传、巡航路径自动校正等自研算法模块，如鹰眼般在草原上空精准 巡航。地面移动式数据处理分析服务器集成高密度、多尺度牛羊盘点技术及大小羊智能识别等算法模 块，能快速分析无人机数据。草原过度放牧智能监管平台则以可视化方式呈现监管牧区的基本信息、历 史监管记录以及现场监管效果，为执法人员提供直观便捷的操作界面。 草畜平衡智能监管终端的应用，对草原生态环境保护意义重大。中国工程院院士、北京市农林科学院智 慧农业首席科学家赵春江认为，草畜平衡智能监管终端是科技创新与草原生态保护深度融合的成果，将 有力推动草原管理向智能化、精细化转型，为全国草原生态保护提供可借鉴模式。 据相关部门测算，草畜平衡智能监管终端将使当地草畜平衡指数降至10%以下，草地退化面积减少 20%，有利于退化草原焕发新生。按当地每亩草地恢复成本50元计 ...

传统的人工巡检不仅耗时费力，还存在一定安全风险，尤其是在一些复杂的设备区域，难以做到全面、 及时监测。智能机器狗可在各种复杂地形和恶劣环境下穿梭，极大提升了巡检效率与安全水平。 在武汉市江夏区的国网湖北省电力有限公司超高压公司鄂东运维分部智能管控中心，随着运维人员一键 启动，位于黄石市的1000千伏特高压黄石站内，一只四足机器狗便"噔噔噔"地走出小屋开始巡检，全面 采集设备外观、温度等关键数据。 （文章来源：科技日报） 这是该站今年新投入使用的智能机器狗。它能通过先进的AI算法，对设备状态进行实时识别，一旦发 现异常，便会立即发出告警。运维人员只需在集控平台远程监控，即可调度任务，处置告警信息。 智能机器狗的应用只是鄂东片区推进大电网无人值守的一个缩影。在智能管控中心，工作人员只需轻点 鼠标，光谷、江夏、青山等地13座超特高压变电站的1869个高清云台摄像机、34个巡视机器人、12台无 人机等智能设备组成的远程智能巡检群便可集体出动，对湖北长江以南武鄂黄黄区域的超特高压变电站 设备展开全方位拍摄、巡视、检查，确保电力"大动脉"安全稳定送电。 ...

Core Insights - The strategic value of computing power has transcended its technical boundaries, becoming a key variable in reshaping industry structures [1] - The investment scale of the AI-related ICT market in China is expected to reach 1.6 trillion yuan by 2025 and grow to 3.5 trillion yuan by 2028 [1] - The rapid evolution of large model technology is driving industries towards digital and intelligent transformation, presenting challenges such as "computing power selection difficulties" and "ambiguous transformation paths" for many enterprises [1][2] Industry Trends - China ranks second globally in total computing power, with 10.85 million standard racks in use and an intelligent computing power scale of 788 EFLOPS as of mid-2023 [2] - The demand for autonomous innovative computing power is rapidly increasing, with expectations that it will account for nearly half of the market share by the end of this year [4] - The traditional IT architecture is unable to meet the high demands of AI for computing power, data, and real-time processing, leading to the emergence of "data islands" [2][3] Technological Developments - The rise of autonomous innovative computing platforms is becoming mainstream, with a shift in computing demand structure from training to inference [4] - Huawei's Kunpeng and Ascend platforms are expected to play a crucial role in the growth of the computing industry in China, with an anticipated 80% growth in 2024 [4] - The architecture for intelligent transformation includes five layers: intelligent perception, intelligent connection, intelligent foundation, intelligent platform, and AI models, providing a clear framework for enterprises [7][8] Application Cases - The Turing Medical Monitoring System utilizes the Ascend computing platform for real-time monitoring and intervention in epilepsy patients, significantly reducing the risk of disease deterioration [5] - The Turing Intelligent Legal System automates the generation of legal documents and improves efficiency in document review by over 80% [6] Strategic Initiatives - Huawei aims to provide customized digital transformation solutions by integrating various elements into an "Industry Intelligent Reference Architecture" [7] - The "Three Layers, Five Stages, Eight Steps" methodology offers a comprehensive roadmap for enterprises to navigate their transformation processes [8] - Huawei emphasizes collaboration with partners to extend the advantages of Kunpeng and Ascend technologies across various industries, driving innovation and accelerating digital transformation [9]