Core Insights - The article discusses a breakthrough in computing technology by a research team at Peking University, which has developed a new type of specialized computing chip that significantly enhances computational speed and energy efficiency compared to traditional digital chips [1][2]. Group 1: Technological Advancements - The new chip architecture provides a dedicated hardware acceleration solution for complex computational tasks, achieving approximately 12 times faster computation speed and over 228 times better energy efficiency compared to advanced digital chips [1][2]. - The research focuses on a core task in machine learning known as non-negative matrix factorization, which is essential for extracting patterns from large datasets in various applications such as image analysis and personalized recommendations [1]. Group 2: Innovation in Computing - The team has innovatively shifted towards analog computing, creating a non-negative matrix factorization solver based on resistive switching memory, which is likened to a highly customized "smart key" for specific tasks [2]. - The prototype system successfully demonstrated high-quality decomposition of color images and efficiently processed training tasks for movie recommendation datasets, achieving performance nearly equivalent to digital chips [2]. Group 3: Future Implications - This advancement opens new pathways for real-time solutions to constrained optimization problems, showcasing the potential of analog computing in handling complex real-world data [2]. - The high-efficiency specialized chips are expected to significantly enhance the real-time responsiveness of personalized recommendations and provide faster, more energy-efficient computational support for generative AI training [2].

Core Insights - In 2025, China's foundational research is entering a breakthrough phase characterized by significant original achievements and increased funding, with basic research funding reaching a historical high of 7.08% of total R&D expenditure [1][12]. Group 1: Breakthroughs in Fundamental Research - China has made notable advancements in various fields, including the first successful large-scale preparation of two-dimensional metallic materials and the development of the "Zu Chongzhi III" quantum computing prototype, which set a world record [1]. - The country has achieved a world-first in thorium-uranium nuclear fuel conversion, reinforcing its leadership in molten salt reactor research and providing core technological support for future thorium resource development [3]. - In quantum technology, China maintains a leading position globally, with significant breakthroughs in computational power and secure communication networks [3]. Group 2: Major Scientific Facilities - China has over 70 major scientific facilities, which are crucial for supporting foundational research and have led to significant discoveries, such as improved measurements of neutrino oscillation parameters and insights into cosmic rays [8][9]. - The "FAST" telescope has made a significant discovery regarding a rare pulsar, showcasing the importance of major scientific infrastructure in advancing research [6]. Group 3: Systematic Enhancements in Research Framework - The Chinese government has prioritized foundational research in its strategic planning, aiming to enhance original innovation capabilities and increase funding for basic research [11]. - The revised National Natural Science Foundation regulations, effective from January 1, 2025, aim to diversify funding mechanisms and encourage original research, particularly among young scientists [11][12]. - Continuous improvements in the research system, stable funding, and a growing pool of young talent are driving the surge in original innovations [12].

这次地磁暴为何如此强烈？地磁暴能否预报，未来发生频次会增加吗？地磁暴会影响人类生活吗？1月 21日，科技日报记者就此采访了相关专家。 第一问：此次地磁暴为何这么强？ 国家空间天气监测预警中心首席预报员陈安芹介绍，地磁暴是高速太阳风压缩地球磁场，并引发短时剧 烈扰动的现象，如同平静湖面突然泛起的涟漪，并非真正意义上的"爆炸"。 来源：科技日报 北京时间1月19日凌晨2时09分左右，太阳活动区爆发X1.9级耀斑，标志着2026年首个X级大耀斑出现。 受日冕物质抛射影响，自1月20日2时起，地球开始发生地磁暴。截至21日17时，已持续出现15小时特大 地磁暴，18小时大地磁暴以及6小时中等地磁暴，目前地磁活动仍在持续。受此次强烈地磁活动影响， 我国多地天空出现了绚丽的极光。 超强地磁暴通常是由日冕物质抛射引起的，作为最典型的太阳爆发活动，一次日冕物质抛射过程能将数 以亿吨计的太阳物质，以每秒数百千米甚至上千千米的速度抛离太阳表面。这些物质不仅携带巨大质量 与速度汇聚成的动能，也蕴藏着强烈的太阳磁场能量。它们一旦命中地球，就会引发地球磁场方向与强 度的显著变化，从而形成地磁暴。 监测显示，此次耀斑爆发伴随全晕日冕物质 ...

Core Viewpoint - A research team led by Shanxi University has made significant breakthroughs in the quantum field, discovering a new mechanism for the quantization of the ratio of electric displacement vector to magnetic field in a large-angle twisted bilayer graphene system, and successfully observing a quantized "Chinese knot" pattern at the Landau level crossing point, which has led to the proposal of a new principle magnetic sensor suitable for low-temperature strong magnetic field environments [1][4]. Group 1 - The quantization phenomenon in low-dimensional systems presents a "jump-like" discrete feature of electron motion, which is fundamental to modern quantum metrology and supports cutting-edge technologies like quantum computing [3]. - The research team aims to explore new quantum physical systems to deepen the understanding of fundamental physics and innovate precision measurement technologies [3]. - The experimental process involved precise stacking of two layers of graphene at a 20°-30° angle using mechanical exfoliation and dry transfer techniques, followed by encapsulation with high-quality hexagonal boron nitride to construct micro-nano devices [3][4]. Group 2 - The unique interlayer weak coupling effect triggered in a strong magnetic field environment led to the formation of the quantized "Chinese knot" pattern, which is uniform in size and resembles a traditional "Chinese knot" [4]. - The formation of this pattern is based on a theoretical calculation revealing that the quantized "Chinese knot" arises from an electric field-driven interlayer charge transfer phase transition, influenced by the competition between interlayer polarization and Coulomb interaction [4]. - A new low-temperature magnetic sensing scheme has been proposed, utilizing the strict linear relationship between the distance between characteristic peaks in the "Chinese knot" pattern and magnetic field strength, allowing for precise magnetic field measurements [4][5]. Group 3 - Compared to existing technologies, the new scheme addresses critical pain points in low-temperature strong magnetic field detection, where traditional nuclear magnetic resonance methods require high uniformity of the magnetic field, making precise detection challenging in complex environments [5]. - The new approach leverages the quantum characteristics of micro-nano devices, transforming vague "blurry outline" measurements into precise "high-definition map" measurements at the microscopic level, significantly enhancing detection accuracy in complex magnetic field environments [5]. - The research team plans to advance the technology towards on-chip array integration to achieve high-density and high-resolution calibration of complex magnetic fields, supporting research and applications in quantum technology and precision instruments [5].

来源：科技日报 针对瓦斯治理精细化发展的瓶颈问题，黑龙江科技大学张保勇教授创新性提出"超长钻孔原位监测胃镜 技术"，支撑"钻孔透明化"的战略构想，有效克服了超长钻孔瓦斯赋存状态、流动规律等关键参数认知 盲区的问题。基于对煤矿地质特征的深度解析，团队突破传统监测技术局限，结合智能算法实现孔内多 物理场耦合分析，能够实时反演出钻孔全孔段瓦斯压力梯度及孔周应力演化等核心数据。 "这一技术的突破不仅使超长钻孔由'黑箱'转变为'明盒'，更为瓦斯高效抽采、灾害预警及智能化开采提 供了科学决策支撑"，保德煤矿通风办主任张迪介绍。 我国著名长钻孔钻进专家李泉新院长表示，超长钻孔原位监测技术拓展了智能钻进叠加效益，为长钻孔 瓦斯治理插上了翅膀。 业内专家认为，该成果的成功应用将有力推动煤矿领域多重战略目标的实现。在瓦斯高效抽采方面，基 于精准瓦斯流动规律模型优化抽采布局，可使瓦斯抽采效率显著提升，促进非常规天然气资源利用。在 安全保障方面，系统能够对超长钻孔煤层瓦斯压力与浓度进行实时监测，识别长钻孔运行状态，为灾害 防治提供前瞻预警，切实提升矿山安全生产水平。在绿色低碳方面，通过高效抽采利用瓦斯（主要成分 为甲烷），可直接减少 ...

Core Insights - DJI has achieved significant market success in Japan, winning the "BCN AWARD 2026" for both "Digital Cameras" and "Action Cameras," marking its first-time dominance in the action camera category and breaking GoPro's decade-long market monopoly [1][4] Market Performance - The BCN AWARD is based on actual POS sales data from 2,350 major electronic retailers in Japan, reflecting the true performance of brands in the consumer electronics market for the year 2025 [3] - DJI's action cameras have not only surpassed traditional strong brands in Japan but have also established a leading position globally, with a market share of 66% in Q3 2025, further solidifying its status as the undisputed leader in the action camera segment [4] Product Innovation - Analysts attribute DJI's success in the action camera sector to its keen understanding of user needs and continuous technological innovation, with products like the Osmo Action series, Osmo 360, and Osmo Nano offering superior stabilization, image quality, and user-friendly designs [5] - The Osmo Pocket 3 has also been recognized as a top-selling handheld gimbal camera, showcasing DJI's leadership in both handheld and action camera markets [6]

Core Idea - The article discusses the phenomenon of "vernalization," where plants require a period of cold to bloom, and highlights recent scientific advancements in understanding this process through the development of a specialized camera that can observe molecular changes in plants [3][4]. Group 1: Vernalization Process - Plants possess a "winter memory" that allows them to remember past cold temperatures, which is essential for initiating their growth in spring [3]. - The term "vernalization" was first coined by Soviet geneticist Trofim Lysenko, indicating that plants need to experience a prolonged period of low temperatures to gain the ability to flower [3][4]. Group 2: Scientific Advancements - Researchers at the University of York developed a "super camera" named SlimVar, which can significantly reduce light scattering and track the movement of individual molecules up to 30 micrometers deep within living plants [4]. - This technology has enabled scientists to identify two key proteins, VIN3 and VRN5, that play a crucial role in the vernalization process by suppressing the flowering-inhibiting gene FLC during winter [4]. Group 3: Molecular Mechanism - The identified proteins form aggregates in the cell nucleus that effectively "turn off" the FLC gene, allowing the plant to prepare for blooming once spring arrives [4]. - These protein aggregates remain in the nucleus as a long-term "memory hub," signaling to the plant that it has survived the winter and can now bloom [4][5]. Group 4: Implications for Agriculture - The findings suggest potential applications in agriculture, where manipulating these "memory hubs" could help crops better adapt to fluctuating climate conditions, ensuring that they can bloom accurately despite environmental changes [5].

Group 1 - The article discusses how China's approach to artificial intelligence (AI) is reshaping global perceptions and applications, focusing on integrating AI into various societal aspects rather than just developing proprietary models [1] - China aims to make AI a public utility, similar to electricity and broadband, ensuring its affordability and widespread availability across production, services, governance, and welfare [1] - Major Chinese tech companies like Baidu, Tencent, and iFlytek are becoming platform providers for AI services, with a focus on creating a nationwide AI neural network [1] Group 2 - Baidu's autonomous driving platform exemplifies the integration of AI with smart infrastructure, AI mapping, sensors, and cloud collaboration, while Huawei provides comprehensive AI systems for industrial parks and ports [2] - AI tools are also being utilized in rural China, where e-commerce platforms offer farmers AI-driven solutions for crop diagnosis, yield prediction, and pricing [2] - Open-source technology plays a strategic role in China's AI ecosystem, facilitating collaboration among developers, startups, universities, and local governments, aligning with China's emphasis on collective problem-solving and standardization [2] Group 3 - China's AI model is particularly appealing to global south countries, offering affordable alternatives to the financial and institutional barriers posed by Western approaches [3] - Initiatives like the "Digital Silk Road" integrate AI systems with infrastructure such as power grids and 5G networks, promoting a state-led growth model prevalent in Asia, Africa, and the Middle East [3] - The cultural foundation of China's AI path emphasizes collective interests, collaborative governance, and practical problem-solving, potentially reshaping the global technology market and societal perceptions of AI [3]

来源：人民日报客户端 绿色甲醇作为国际海事组织（IMO）主推的航运脱碳核心燃料，能显著减少硫氧化物、颗粒物及二氧化 碳排放，环保优势十分显著。"大庆268" 轮作为国内首艘甲醇双燃料动力油化两用加注船，船长109.9 米，载重量7500吨，总舱容10362立方米，主力加注绿色甲醇的同时可兼顾传统燃料，其双燃料动力系 统能大幅降低碳排放，此次首航首加实现了大湾区绿色燃料加注装备"从无到有"的重要突破。 1月21日上午，在海事部门甲醇加注作业安全指引的指导下，"中国前海"籍加注船"大庆268"轮为国际航 行集装箱船"中远海运康乃馨"轮成功加注200吨绿色甲醇燃料，深圳国际航行船舶绿色甲醇首单加注在 盐田港区顺利完成，成为全国自主新建首艘甲醇加注船的首单加注。这标志着深圳港正式具备了绿色甲 醇加注服务能力，是华南地区在航运绿色燃料补给领域的重大突破，为粤港澳大湾区打造世界级绿色航 运枢纽奠定了坚实基础。 ...

Core Insights - Lenovo China officially launched the "Lenovo AI Factory" overall solution aimed at transforming enterprise data centers from traditional "computing centers" to efficient "AI factories" for intelligent transformation and full-stack AI technology application in China [1] Group 1: AI Factory Solution - The "Lenovo AI Factory" solution is a standardized system that is manageable, replicable, and supports continuous operation, focusing on reshaping the development and deployment processes of AI applications [1] - The solution features a "1+3+N" AI server development architecture, which includes one unified system architecture, three major CPU platforms, and multiple GPU ecosystem partners, combining global technology with localized service capabilities [1] Group 2: Core Advantages - The core advantages of the solution lie in achieving extreme AI production efficiency and computing resource utilization through full-stack AI capabilities [1] - It also emphasizes building green and sustainable capabilities that permeate infrastructure and daily operations [1] Group 3: Practical Applications - The solution has been validated in various practical scenarios, demonstrating broad adaptability from large-scale intelligent computing to industry-specific intelligent applications [2] - In the smart healthcare sector, Lenovo created a scenario-based smart healthcare "AI factory" for Xunshang Medical, integrating clinical data and enabling hospitals to transition from "data accumulation" to "data governance" [4]