Core Viewpoint - Chinese researchers have successfully developed a fully superconducting user magnet with a central magnetic field of 35.6 teslas, breaking the previous world record of 32 teslas set by the National High Magnetic Field Laboratory in the United States, significantly enhancing China's capabilities in strong magnetic field material science research [1][2]. Group 1: Technological Achievements - The newly developed magnet is the only fully superconducting user experimental magnet capable of providing magnetic fields above 30 teslas, which is over 700,000 times stronger than the Earth's magnetic field [1]. - The development of the superconducting magnet involved overcoming significant engineering challenges related to magnetic field strength, stability, and uniformity, as well as issues with the anisotropic nature and precision control of high-temperature superconducting materials [1][2]. Group 2: Collaborative Efforts - The collaboration between the Institute of Electrical Engineering and the Institute of Physics of the Chinese Academy of Sciences led to key technological breakthroughs in magnet design, construction, and precision measurement under extreme conditions [2]. - The user magnet will support researchers in exploring the laws of the microscopic world and advancing fundamental research and high-end equipment manufacturing [2]. Group 3: Cost and Accessibility - The operational cost of the fully superconducting magnet is significantly lower than that of traditional resistive magnets due to its zero-resistance feature [2]. - The magnet has a usable aperture of 35 millimeters, making it suitable for a wide range of experimental needs, including nuclear magnetic resonance and material specific heat measurements [2]. Group 4: Future Goals - The research teams aim to continue their collaboration to achieve magnetic fields of 40 teslas and beyond, while also working on expanding the magnet's aperture and reducing operational costs [2].

"二氧化碳怎么能发电，你可真是个'大忽悠'！"类似的质疑，中核集团首席科学家、"超碳一号"总设计 师黄彦平听过无数次。 超临界是物质的一种特殊状态。当工作压力超过73个大气压，工作温度超过31℃时，二氧化碳就会进入 超临界态，化身为"超碳"。 超临界二氧化碳发电技术就是用超碳作为能量传递和热功转换工质，替代传统蒸汽动力发电机组中的水 蒸气，实现从热能到电能的转换。 "相比于水蒸气，超碳密度高、黏度低，且不会发生气液相变，既能提高发电效率，又能缩小设备体 积。"黄彦平告诉科技日报记者。但当时，这项技术尚处于理论阶段，国内还无人问津。 与传统的蒸汽余热发电机组相比，"超碳一号"机组设备占地面积缩减一半，发电效率提升85%以上，年 发电量增长50%以上。这些成就的背后是研发团队历时17年矢志攻关，先后破解设计、制造、集成应用 等方面一系列技术难题，通过自主创新改写人类"烧开水"发电的历史。 "微雕"换热道 2009年的一天，黄彦平接到中国工程院院士孙玉发托人转来的一张小纸条：美国正在研究超临界二氧化 碳发电技术，很多人觉得不可能，你是否愿意试试？ 可就在前不久，全球首台商用超临界二氧化碳发电机组——"超碳一号"在贵 ...

Core Insights - The research highlights a new threat to autonomous systems, specifically "visual attacks" that can hijack decision-making processes of self-driving cars and drones through malicious text embedded in the environment [1][2][3] - The study emphasizes the urgent need for the industry to establish new safety standards and protective mechanisms to counteract these vulnerabilities [1][2] Group 1: Research Findings - Researchers from the University of California, Santa Cruz, have demonstrated that attackers can manipulate autonomous systems by embedding specific text in physical objects like road signs and posters, leading to dangerous behaviors [2][3] - A framework named "CHAI" was developed to test this concept, which optimizes attack text using generative AI and adjusts visual attributes such as color, size, and position to enhance the effectiveness of the attack [2] - In tests, the CHAI attack successfully interfered with navigation judgments of self-driving vehicles, achieving a manipulation success rate of up to 95.5% in simulated drone scenarios [2] Group 2: Implications for the Industry - The findings indicate that such attacks are feasible in the physical world, posing a real threat to the safety of intelligent systems as AI becomes more integrated into physical environments [2] - The research serves as a warning for the industry to consider the broader implications of AI safety and to conduct more proactive studies to strengthen the security foundation of these technologies [3]

论文第一作者、北京通用人工智能研究院张驰博士介绍，TongGeometry能从浩如烟海的空间组合中， 精准捕捉到具备人类数学家审美标准的高质量题目，在国际上首次实现从"模仿解题"到"自主创造"的范 式转变。 我国科研团队近日开发出全球首个同时具备自主出题和自动解题双重能力的通用人工智能系统——"通 矩模型"（TongGeometry）。相关成果"基于引导树搜索的奥数几何问题提出与解答系统"1月26日发表于 《自然·机器智能》上。 奥林匹克数学竞赛被视为人工智能逻辑推理能力的"试金石"。2024年初，DeepMind公司开发的 AlphaGeometry人工智能系统展示了AI在解题方面的巨大潜力，但其本质上是一个"被动解题者"，训练 极度依赖大规模的合成数据和昂贵的计算资源。与之相比，我国自研的TongGeometry则展现出更高维 度的智能：不仅是一个能满分交卷的"优等生"，更是一位能创造优美、新颖题目的"出题名师"。其自主 生成的3道几何新题，已正式入选2024年全国中学生数学联赛（北京赛区）及美国精英奥赛。 论文共同通讯作者、北京大学心理与认知科学学院助理教授朱毅鑫表示，这意味着中国科研团队在自动 化推理 ...

Core Insights - The research highlights a new threat to autonomous systems, specifically "visual attacks" that can hijack decision-making processes of self-driving cars and drones through malicious text embedded in the environment [1][2] Group 1: Research Findings - Scientists from the University of California, Santa Cruz, have revealed that attackers can manipulate autonomous systems by embedding specific text information in physical environments, leading to dangerous behaviors [1] - The study introduces the concept of "environmental indirect prompts," where malicious text can be placed on road signs or posters to mislead AI systems that rely on visual language models [2] - A framework named "CHAI" was designed to demonstrate command hijacking of embodied AI, optimizing attack text using generative AI and adjusting visual attributes to enhance attack effectiveness [2] Group 2: Experimental Results - The CHAI attack framework was tested in three scenarios: autonomous driving, emergency landings of drones, and target searches, showing a success rate of up to 95.5% in manipulating autonomous systems [2] - In real-world tests, misleading images successfully interfered with the navigation judgments of test vehicles, confirming the feasibility of such attacks in physical environments [2] Group 3: Industry Implications - The findings serve as a warning for the industry, emphasizing the need for new safety standards and protective mechanisms as AI becomes increasingly integrated into physical systems [1][2][3] - The research calls for more comprehensive considerations and proactive studies to ensure the safety of AI technologies as they are deployed in real-world applications [3]

我国科研团队近日开发出全球首个同时具备自主出题和自动解题双重能力的通用人工智能系统 ——"通矩模型"（TongGeometry）。相关成果"基于引导树搜索的奥数几何问题提出与解答系统"1月26 日发表于《自然·机器智能》上。 相比AlphaGeometry需要庞大的算力集群，TongGeometry仅需单张消费级显卡即可在最多38分钟 内，解决近25年所有的奥数几何难题。 论文共同通讯作者、北京大学心理与认知科学学院助理教授朱毅鑫表示，这意味着中国科研团队在 自动化推理的逻辑核心领域实现关键技术自研，并在性能与功能多样性上全面超越以DeepMind为代表 的国际顶尖水平。同时，我们的系统在理解逻辑底层美学和自主发现科学规律方面走在了前列。这种不 依赖海量标注数据、通过内部逻辑自我演化的路径，正是通用人工智能（AGI）发展的关键。 奥林匹克数学竞赛被视为人工智能逻辑推理能力的"试金石"。2024年初，DeepMind公司开发的 AlphaGeometry人工智能系统展示了AI在解题方面的巨大潜力，但其本质上是一个"被动解题者"，训练 极度依赖大规模的合成数据和昂贵的计算资源。与之相比，我国自研的TongGeom ...

Group 1 - The core viewpoint of the articles highlights the rapid integration of AI, particularly large language models (LLMs), into business operations, which brings both transformative potential and significant security risks [1] - AI browsers, such as OpenAI's ChatGPT Atlas and Perplexity's Comet, are set to revolutionize user interactions by automating tasks like form filling and booking, but they also introduce new vulnerabilities that could lead to data breaches and unauthorized actions [2] - Security experts emphasize the need for proactive measures in AI governance, including unique identification for AI agents, data classification, and emergency shutdown mechanisms to mitigate risks associated with AI's increasing autonomy [3] Group 2 - Prompt injection attacks, which manipulate LLMs to bypass security protocols and leak sensitive information, have been identified as a top threat by organizations like OWASP, highlighting the need for robust defenses against such vulnerabilities [4] - The evolution of security access service edge (SASE) into AI-aware access architecture is crucial for managing AI traffic and ensuring compliance, marking a shift from passive to active defense strategies in AI security [5][6] - The establishment of AI security posture management (AI-SPM) systems is anticipated to provide centralized monitoring and governance of AI models and data, ensuring compliance with international risk management frameworks and enhancing overall security [6]

制造出"永不沉没"的船只是工程师们一直以来的希望。为实现这一目标，美国罗切斯特大学光学研究所 研究人员开发出一种新技术，可以将普通的金属管变成永不沉没的物体。这意味着无论其在水中浸泡多 长时间，或遭受多大损坏，都能保持漂浮状态。 研究人员通过蚀刻铝管的内壁，在其表面创造出微米和纳米级的坑洞，使其表面具备超疏水性，能够有 效排斥水分，保持干燥。当经过处理的管子进入水中时，超疏水表面会在管内形成稳定的气泡，从而防 止管道被水浸泡并沉入水中。这种机制与潜水钟蜘蛛和火蚁在水中形成浮筏保持浮力的原理类似。 研究人员还在管子中间加入了隔板，即使将管子垂直推进水中，气泡也能保持在管内，从而保持其浮 力。 此前，研究人员已在2019年首次展示了类似的超疏水浮力装置，使用了两块超疏水圆盘，将其密封在一 起，利用气泡产生浮力。但该设计在极端角度下容易失去浮力。相比之下，目前的管道设计在多种复杂 环境下表现更为稳定，尤其在海洋湍流等条件下，管子能持续保持漂浮。 研究人员在恶劣的测试环境中对管子进行了数周的连续测试，发现即便是管道遭受大范围破损，依然能 浮在水面。 此外，多个超疏水管道可联结成浮筏，用于船只、浮标和浮动平台的构建。使 ...

Core Insights - The innovative drug Shuwotini tablets, which targets a rare mutation in non-small cell lung cancer, has won the first prize in Jiangsu Province's Science and Technology Progress Award, highlighting its significant breakthrough in original innovation and clinical application [1] - Shuwotini tablets are the first and only drug approved for the EGFR 20 insertion mutation, receiving market approval in China in August 2023 and subsequently being included in the national medical insurance directory, significantly reducing patient costs [1] - The award recognizes the project's contributions to technological innovation and its impact on economic and social development, emphasizing the comprehensive strength of the research and development company in key technology breakthroughs and results transformation [1] Company and Industry Developments - The company, Dizhe Pharmaceutical, aims to continue addressing unmet clinical needs through technological innovation, accelerating the delivery of globally competitive original innovations to benefit patients worldwide [2] - The drug is expected to gain international recognition, as it was approved by the U.S. FDA in 2025, marking it as the first independently developed innovative drug from China to be approved in the U.S. and included in the National Comprehensive Cancer Network guidelines for non-small cell lung cancer [1]

Core Insights - The research team led by Hu Haike at the Hangzhou Institute of Medicine has developed the world's first diagnostic kit for distinguishing between benign and malignant lung nodules, which has received regulatory approval as a Class III medical device in China [1][2] - Lung cancer remains the most prevalent and deadly cancer in China, with approximately 150 million people suffering from lung nodules, of which over 95% are benign [1] Group 1: Product Development - The team has focused on early lung cancer diagnosis since 2016, utilizing tumor-specific antibody detection technology to identify specific biomarkers [2] - They have screened over 400 key proteins related to early lung cancer using high-throughput screening techniques and artificial intelligence, resulting in a combination of 13 optimal diagnostic markers, including 8 novel markers [2] Group 2: Clinical Testing and Performance - The diagnostic kit was tested in multiple hospitals, involving 1,463 patients with lung nodules, of which 794 were lung cancer cases, with early-stage lung cancer samples accounting for 58.19% [2] - The kit demonstrated a sensitivity of over 65% for early lung cancer detection, significantly outperforming traditional tumor markers, and can increase diagnostic accuracy for atypical small nodules to over 85% when used alongside low-dose spiral CT [2] Group 3: Market Potential - The diagnostic kit is expected to be launched in the market after the Spring Festival, providing crucial support for China's "Healthy China 2030" cancer early screening strategy [2]