Core Viewpoint - A revolutionary new crystal material has been developed by a research team from Pusan National University and Hokkaido University, capable of absorbing and releasing oxygen under mild temperature conditions, which could pave the way for advancements in clean energy technologies [1] Group 1: Material Characteristics - The innovative material is a special metal oxide primarily composed of strontium, iron, and cobalt, exhibiting the ability to stably release and efficiently absorb oxygen in normal gas environments [1] - Unlike traditional materials that are often fragile or require extreme conditions to operate, this new crystal can function effectively in mild temperature environments and demonstrates excellent reversibility, returning to its original state after each "breathing" cycle [1] Group 2: Applications and Implications - The intelligent self-regulating feature of this material suggests broad application prospects in various fields, including clean energy development, electronic device upgrades, and green building materials [1] - Potential innovations include new types of solid oxide fuel cells, thermal transistors, and smart windows that can automatically adjust according to environmental conditions [1]

英国国家物理实验室研究团队开发出超高精度单电子探测技术，其时间分辨率达到创纪录的万亿分之一 秒（皮秒级）。这项发表于最新一期《物理评论快报》的研究成果，为新一代量子设备的研发奠定了坚 实基础。 传统电子电路存在大量电子，这些粒子之间的相互作用往往会导致效率损失。能否精确操控单个电子， 以制造出单电子高速电路？最新电子检测方法朝这一目标迈进了一步。 研究团队创新性地采用半导体砷化镓薄片作为实验平台，通过精确注入和追踪两个电子的相互作用过 程，实现了前所未有的单电子探测精度。 实验过程中，研究团队将两个电子分别注入材料的不同位置。当这两个带电粒子高速接近时，它们之间 的库仑力导致其运动轨迹发生偏转。通过实时监测这种微妙变化，在电子相互作用发生后的6皮秒内完 成了电子探测，这一速度较现有技术提升约100倍。在这一时间尺度探测到电子，有助揭示两个电子"一 举一动"的细节，为理解电子行为本质并设计新型电子器件提供了重要工具。 单个电子本质上是量子粒子，这项技术突破意味着科学家现在可以更深入地探索和利用电子的量子特 性，为量子通信、量子计算等前沿领域带来新的可能性。单电子设备可完成某些单光子量子设备的任 务，这些设备有望 ...

Core Insights - The article discusses the risks of data poisoning in AI systems, highlighting how malicious interference can lead to incorrect AI learning and potentially dangerous outcomes in various sectors like transportation and healthcare [1][2]. Group 1: Data Poisoning Risks - Data poisoning can occur when misleading data is fed into AI systems, causing them to develop incorrect understandings and make erroneous judgments [1][2]. - A notable example of data poisoning is the case of Microsoft's chatbot Tay, which was forced offline within hours of launch due to being manipulated by users [2]. - The rise of AI web crawlers has led to concerns about the collection of toxic data, which can result in copyright infringement and the spread of false information [3]. Group 2: Copyright and Defensive Measures - Creators are increasingly concerned about their works being used without permission, leading to legal actions like the lawsuit from The New York Times against OpenAI for copyright infringement [4]. - Tools like Glaze and Nightshade have been developed to protect creators' works by introducing subtle alterations that confuse AI models, effectively turning their own creations into "poison" for AI training [4]. - Cloudflare has introduced "AI Maze" to trap AI crawlers in a loop of meaningless data, consuming their resources and time [4]. Group 3: Decentralized Defense Strategies - Researchers are exploring decentralized technologies as a defense against data poisoning, with methods like federated learning allowing models to learn locally without sharing raw data [5][6]. - Blockchain technology is being integrated into AI defense systems to provide traceability and accountability in model updates, enabling the identification of malicious data sources [6]. - The combination of federated learning and blockchain aims to create more resilient AI systems that can alert administrators to potential data poisoning threats [6].

Core Insights - The company Wanrui Cold Electric Technology has developed China's first low-temperature refining and neon removal device, achieving a helium gas purity of 99.99997% (6N9 level) from natural gas, marking a significant breakthrough in the low-abundance helium extraction field in China [1][2] Company Overview - Wanrui Cold Electric is recognized as a national key support "specialized, refined, and innovative" small giant enterprise, continuously increasing R&D investment to overcome critical core technologies [2] - The company has independently developed a new "combined method" helium extraction process, integrating four advanced techniques: dehydrogenation, membrane separation, pressure swing adsorption, and low-temperature refining [2] Industry Context - Helium is a non-renewable strategic resource essential for large scientific installations, advanced medical applications, and aerospace, often referred to as the "blood of industry" [1] - China's average helium abundance in natural gas fields is only 0.03%-0.05%, significantly lower than the international level of 1%-7%, leading to inefficiencies in traditional helium extraction technologies [1]

记者8月18日从中国能建集团所属中国能建数科集团获悉，世界最大人工硐室储气原位试验平台开展的 储气密封循环试验日前在湖南省长沙市望城区取得成功。这标志着我国全面掌握了人工硐室储气领域相 关技术，将加速推动压缩空气储能行业规模化、产业化发展。 此次试验压力突破人工硐室储气库最高压力等级18兆帕。通过高低压循环、长时保压"双168小时"连续 运行验证，储气库密封性、稳定性等各项性能指标均达到国际一流水平，创下超高压力、超严密封、超 高可靠、超全感知、超高效率五项世界纪录。 项目负责人纪文栋介绍，高压储气库全系统必须"零缺陷"，任何一个环节出现问题，就会导致气体泄 漏。这次试验突破了高压储气系统严苛之极限。 "这项成果来之不易。"中国能建集团首席专家万明忠谈道，为了攻克成套技术，公司数十位研究人员驻 扎在深山老林近700天，搭建了实验室。他们白天钻山洞，晚上研究数据、改方案，经过上千次的实 验，终于实现了关键技术突破。 据悉，开展试验的人工硐室储气原位试验平台拥有两座超大型试验洞，最大埋深110米，最高试验压力 达20兆帕，具备"双洞"同步试验能力，规模与压力参数均居世界之最。实验室筹建于2022年12月，2024 ...

在这项研究中，科研人员利用高分辨率多模态磁共振成像技术，创造性地将皮层复杂的折叠形态分解为 不同"频率"的几何模式，并描绘了主要白质纤维束在皮层表面的连接点分布。结果发现，皮层的几何模 式可以非常准确地预测纤维束的连接分布，就像地形决定河流的走向。 人类思考、记忆和感受时，大脑里的白质纤维束像高速公路一样传递着信息，而大脑皮层的复杂褶皱就 像山脉和河谷，为信息传递提供了独特的支撑。记者18日从中国科学院自动化研究所获悉，来自该所的 科研人员成功揭示人类大脑皮层形态与白质纤维连接的内在关系。相关研究成果在线发表于《自然-通 讯》杂志。 "过去，学界惯于把大脑皮层的形状与白质纤维的连接分开研究，忽视了二者耦合所蕴含的全局机 制。"论文通讯作者、中国科学院自动化研究所研究员樊令仲说。 "我们把这种可以精确测量的紧密配合关系称为'白质纤维—皮层几何耦合'（TGC）。这种关系不仅非 常稳定，还能像指纹一样区分不同个体。"樊令仲说，深入分析TGC发现，大脑结构的形成是"先 天"与"后天"共同作用的结果。 （文章来源：科技日报） ...

教育部副部长吴岩讲起了他在湖南一所特殊教育学校看到的一幕。借助人工智能技术，学校将抽象的知 识以形象化的方式呈现，有效地提升了智力障碍学生课堂参与度、专注度与自信心，让每一个特殊儿童 得以接受更高质量的教育。"当时看到这种情景，我的眼泪掉下来了。人工智能让我们特殊教育变得 不'特殊'。"他感慨道。 吴岩表示，中国正推动人工智能深度融入教育各领域，实施国家教育数字化战略行动三年来，已带来五 大变革：改变了学生的"学"，改变了教师的"教"，改变了学校的"管"，改变了高校科研的范式，也正在 改变教育的形态。 8月18日，以"人机协同催生教育新生态"为主题的"2025全球智慧教育大会"在北京开幕。离大会正式开 始还有20分钟时，主会场已经没了座位，后来的人只能站着听。 不少孩子也来了。他们在场馆外的智慧教育展区，体验机器人和数字人，体验正在发生的人机共育、人 机共教、人机共学的教育新实践。 北京师范大学校长于吉红在发言中指出，"智能时代，教育何为"，是需要大家共同回答的时代课题、世 界课题。于吉红说，站在教育数字化转型的关键路口，高校要切实担负起开辟教育模式，促进教育发展 变革的重要使命。高校要主动引领数字教育变革， ...

Core Insights - The event on August 15 marked the 20th anniversary of the "Green Mountains and Clear Water are Gold and Silver Mountains" concept, showcasing significant achievements in ecological civilization [1] - A total of 20 major technological achievements in the ecological field were officially released, covering various areas such as water treatment, air pollution control, climate change, and biodiversity [1] Group 1: Technological Achievements - The 20 achievements include the compilation of "Flora of China," the establishment of a drinking water safety assurance technology system, and the theory and practice of water and sediment regulation in the Yellow River [1] - Other notable technologies include key techniques for groundwater pollution prevention in the Beijing-Tianjin-Hebei region, new membrane water treatment technologies, and collaborative deep governance technologies for industrial flue gas pollutants [1] - The achievements also encompass climate numerical modeling and predictability research, key technologies for ecological water-saving irrigation areas, and a national environmental quality remote sensing monitoring system [1] Group 2: Organizing Bodies - The event was organized by a coalition of 11 academic societies under the Chinese Association for Science and Technology, including the Chinese Society of Environmental Sciences and the Chinese Society of Ecology [3] - The selection process involved leading experts and a final selection by a hundred academicians, reviewing over 400 projects from national science and technology awards between 2005 and 2023 [3]

8月初，吉林热电厂内，国网吉林省电力有限公司"保供技术攻关"青年突击队正开展迎峰度夏电力保供 专项监督检查。"该厂存煤量约为20.4万吨，库存可用41天，满足当前电煤供应需求。"队长王行正仔细 记录着该厂电煤储备情况，并将相关数据同步至吉林省电力保供监督信息管理平台。 该平台融合2879项网源运行数据，实现吉林省煤电机组状态、燃料库存等12类核心数据分钟级采集，赋 能可调裕度监测、电煤管理等29项核心业务功能，实现新能源波动超前6小时预警、机组非停隐患48小 时预判。依托该平台，团队构建了"线上数字化监管+线下精准化执行"的工作机制，为提升吉林省电力 可靠供应水平提供数智保障。 截至目前，在平台赋能下，团队年均开展电力保供专项监督检查84次，排查整改电力供应安全隐患191 项，吉林省弃风率显著下降，促进3.03亿千瓦时清洁电力消纳。 吉林省是新能源发电大省，全省风、光等可再生能源装机占比超40%。为解决新能源波动性特点与电网 稳定需求之间的矛盾，在吉林省政府授权下，国网吉林省电力有限公司成立全国首个电力保供监督中 心，负责统筹吉林省电力安全可靠供应，协调煤电、新能源及储能等多种电源协同运行。为打破新能源 波动 ...

"博物馆充分利用现有的考古发掘现场作为其核心展示区域，并结合AR、VR、MR等数字化技术，以生 动形象的方式解读和传达遗址的丰富信息及其深远价值。"顺天门遗址博物馆运营总监陈兆锋介绍，通 过这种扎实严谨的研究与"文化+艺术+科技"的完美融合，公众将能够在游览过程中深入理解遗址的内 涵。 讲述黄河与文明的对话 天青色的屋顶，弧线形的屋檐，在河南省开封市区内，一座彰显宋代美学的博物馆——北宋东京城 顺天门遗址博物馆，即将向公众展现"城摞城"的奇观。 走进博物馆，宛如进入时光地层之中，这里保留了16层道路夯土叠压、6个朝代城墙、3次黄河决口淤 积、清代院落的水井。博物馆通过现代光影技术，将6个时代城墙的叠压痕迹鲜活展现，这种"地层+遗 迹+数字"的三维叙事，真正让文物遗址"活起来"。 从古迹中窥见历史变迁 据史料记载，北宋东京城的顺天门，最初被称为迎秋门，后更名为顺天门。因其向西直通郑州，并与内 城上的郑门相呼应，故又被誉为新郑门。 "顺天门兴盛于宋代，淹没于明代，见证了开封城的沧桑巨变。"顺天门遗址博物馆考古领队葛奇峰介 绍，为了更好地保护这一历史遗迹，开封市自2012年便启动了新郑门遗址项目，经过多年的保护性考 ...