近日，中科天机与魔搭社区（ModelScope）达成合作，"中科天机高质量气象数据集"正式上线魔搭 平台，提供给广大AI4S开发者下载和使用,标志着双方在科学智能领域的生态合作正式开启。 未来，中科天机与魔搭社区将持续深化合作，推动更多区域、要素的高质量气象数据上线。双方将 共同探索气象数据与AI模型深度融合的应用场景，为气象、能源、航空、农业、水利等领域的智能化 转型提供有力支撑。（中科天机供图） 【责任编辑：沈晔】 | <>> MadelScope 四页 相当库 数据图 0个问 文档 115 | 집 미술판별 | O O D O BS 09/100 | | | --- | --- | --- | --- | | 0 中科天机公里级融合数据集2025年华北区域 | | ○ ■取 + 合量 | | | timesther / tiensther _TJ-CN 2025_humbel (B) | | | | | ● MIEN® G FINING: CC-BY-NC-4.0 MIN | | | | | 0-044人民气康利用用意公司 日报 7下班 602 22GB 2020-02-11更新 | | | | | 的 ...

据悉，本届大会以"一核三轴"为架构，面向全球开发者提供"找答案、找技术、找场景、找人才、找工 作、找朋友"六大对接服务，推动产业资源高效聚合，助力上海建成具有全球影响力的科技创新高地。 其中，"一核"为打造创意落地最快之城，彰显上海产研融合与全球科技引领定位。三轴分别聚焦产业解 题、商业闭环、要素聚合：人工智能嘉年华轴，展示能源—算力—科学—产业创新闭环，呈现具身智 能、科学智能、数字孪生等前沿场景；SE超级创业者生态轴，依托Agent与OpenClaw生态，通过超级创 业者挑战赛、Vibe Coding锦标赛、全球黑客松等，赋能超级个体与"一人公司"发展；开发者社区与 Skills市场轴，以技能市场为支点，激活Agentic AI活力，打造全球开发者集聚交流平台。 中国青年报客户端讯（中青报·中青网记者 王一迪）2月14日，记者从上海市经济和信息化委员会获悉， 2026全球开发者先锋大会（GDPS 2026）将于3月27日至29日在上海徐汇西岸国际会展中心举办。本届 大会以"开发者，找找找"为主题，聚焦"产业出题，科技答题"核心主旨，着力打通产研融合瓶颈，提升 产业需求到科研成果的转化效率。 主办方相关负责 ...

Core Insights - The research team from Shanghai Institute of Science and Intelligent Technology, in collaboration with Peking University and Fudan University, has developed a multi-agent reinforcement learning system called PackingStar, which has set new records in the long-standing mathematical problem known as the "kissing number" problem, marking a significant breakthrough in the field of mathematical structures [1][2][3] Group 1: Research and Development - PackingStar addresses high-dimensional combinatorial optimization problems, similar to challenges in new material design and drug discovery, by finding optimal solutions in exponentially growing search spaces [3] - The system has revealed solutions that possess clear geometric rules while breaking global symmetry, leading to new mathematical constructs that were previously incomprehensible [3] - The collaboration between human intuition and AI in the research process has transformed the role of mathematicians from tedious calculations to becoming "mathematical observers" and "intuition designers" [3][4] Group 2: AI and Human Collaboration - The project signifies a shift towards a new paradigm of collaborative research where human mathematicians provide insights and intuition, while AI constructs structures and searches for proofs, creating a feedback loop that enhances both AI capabilities and human mathematical intuition [4][5] - The development of PackingStar is compared to AlphaFold in biology, highlighting the need for deep collaboration between AI experts and mathematicians to tackle problems that lack existing training data [4][6] Group 3: Cultural and Philosophical Context - The team embodies a cross-disciplinary approach, merging backgrounds in physics, AI, and mathematics, which fosters a creative environment conducive to scientific breakthroughs [7][8] - The name "PackingStar" reflects both the research focus on high-dimensional space and the diverse talents of the team members, symbolizing a new generation of scientific inquiry at the intersection of technology and humanities [7][8]

2026年，AI正从单纯的模型规模竞争转向科学智能、Agent智能体、端侧AI、具身智能、AI+视频等核心能力的全面突破。 3月27日至29日，2026全球开发者先锋大会（GDPS 2026）将在上海徐汇西岸国际会展中心举办。 大会将以"一核三轴"的整体架构模式，打造"未来科学文明样板间"，通过沉浸式体验展示上海"能源—算力—科学—产业"的创新闭环，使科学智能 （AI4S）看得懂、玩的high、有收获。 展现人工智能赋能超级个体与一人公司（OPC）的新图景，通过Agent以及OpenClaw生态，对接创新供需双方，助力开发者实现技术变现。以场景对接 会为链接点，形成场景与业务的有效联动。 大会将依托"开发者，找找找"，以Skills技能市场为支点，释放AgenticAI的活力，实现代码库到能力互动场跃迁，为赋能人工智能时代个体创新与一人 公司发展助力赋能。推动技能体系与创新范式的全面升级，让上海成为"全球开发者社区的社区"。 本届大会定位于"产业出题，科技答题"，旨在打通产研融合瓶颈，提升从产业需求到科研成果应用效率。 以"开发者，找找找"为主题，今年大会从"找答案、找技术、找场景、找人才、找工作、找朋友"六 ...

（来源：上观新闻） 3维空间尚且如此，进入高维空间更是远超人类的想象，因此300多年来进展缓慢。玛丽娜·维亚佐夫斯 卡，正是凭借在8维和24维的突破性进展，获得2022年菲尔兹奖。 亲吻数问题实则深刻，且有着重要的应用价值。在信息编码中，如何用最少的比特数压缩最多的信息， 其底层逻辑和亲吻数是相通的。 300多年里，这道世界级数学难题，仿佛在等待着一场深刻的相遇。 2 牛顿可能想不到，他在1694年首次提出的亲吻数问题，会成为困扰数学界至今的一道世界级难题。 他一定想不到，300多年后，来自上海科学智能研究院（简称上智院）、北京大学和复旦大学的联合团 队，在一个名叫"人工智能"的助力下，让这一经典难题迎来系统性突破——在人类无法想象的多个高维 空间，打破已知的最优解。 他一定也想知道，这一切究竟是怎么发生的？ 1 亲吻数问题只是看上去简单——在N维空间中，一个球体周围最多能与几个相同的球体相切 （Kissing）。 3维空间就引发了牛顿和数学家大卫·格雷戈里的激烈争论，牛顿猜测说最多12个，格雷戈里说可能有13 个。直到258年后，数学家才严格证明牛顿是对的。 上智院AI Math青年研究员、北京大学博士生马 ...

2月1日至3日，世界顶尖科学家峰会在阿联酋迪拜举行，来自全球各领域的科学家，包括数十位诺贝尔 奖、图灵奖、沃尔夫奖获得者，围绕应对人类面临的复杂挑战展开深入研讨。 本届峰会以"基础科学：应对人类未来的挑战"为主题，聚焦人工智能与机器学习、量子科学与纳米技 术、生物技术与基因组学、数据科学与密码学、神经技术与脑科学以及能源与先进材料等多个关系到人 类文明未来发展方向的关键领域。 会场上，来自粤港澳大湾区的青年科学家代表、清华大学深圳国际研究生院副教授董恺琛就AI和社会 关系作分享，与会嘉宾们对其研究领域成果产生了浓厚兴趣。他在接受南都N视频记者专访时表示，粤 港澳大湾区的国际交流环境非常有利于新技术哺育和落地，为科研创新提供了良好土壤。 董恺琛（左一）。 "尽可能增加AI的可解释性" 在峰会开幕式当天的首场圆桌会议上，清华大学深圳国际研究生院副教授董恺琛围绕AI和社会关系， 从教育与科研两个维度切入，分享了他的独到见解。 董恺琛认为，AI能够加速教育和科研方面的各项工作，包括加速文章阅读、提升学习进度，科学研究 也因机器人和人工智能技术而变得更加快速。同时，他也提出了自己的顾虑：如果未来AI深度参与论 文发表甚 ...

从这笔资金的投向，或可"管窥"当前的算力市场正在发生什 么。 作者：郑晨烨 封图：图虫创意 2月9日晚间，超算龙头中科曙光（603019.SH）披露《向不特定对象发行可转换公司债券预 案》，拟募集资金总额不超过80亿元。 从这笔资金的投向，或可"管窥"当前的算力市场正在发生什么。 80亿元资金投向 根据预案，本次募集资金在扣除发行费用后，将用于三个核心项目：面向人工智能的先进算力集群 系统项目（拟投入35亿元）、下一代高性能AI训推一体机项目（拟投入25亿元），以及国产化先 进存储系统项目（拟投入20亿元）。 其中，拟投入资金最多的是"面向人工智能的先进算力集群系统项目"，占总募资额的43.75%。 那么，这笔资金具体将投向何处？2月5日在郑州上线的国家超算互联网核心节点提供了一个具体 的参照。 经济观察报记者在采访中了解到，该核心节点上线的3套scaleX万卡超集群由中科曙光提供，是目 前接入国家超算互联网的最大单体国产AI算力资源池。该集群可全面覆盖万亿参数模型训练、高通 量推理以及AI for Science（科学智能）等大规模场景。 从该节点的情况看，在高密度计算环境下，除了芯片本身的支出之外，冷却、 ...

Core Viewpoint - The leading supercomputer company, Zhongke Shuguang, plans to raise up to 8 billion yuan through a convertible bond issuance to invest in advanced computing projects, reflecting significant changes in the computing power market [2][3]. Funding Allocation - The raised funds will be allocated to three main projects: - 3.5 billion yuan for an advanced computing cluster system project focused on artificial intelligence, accounting for 43.75% of the total funds [4]. - 2.5 billion yuan for the next-generation high-performance AI training and inference machine project [4]. - 2 billion yuan for a domestic advanced storage system project [4]. Market Trends - The investment in the next-generation AI training and inference machine project indicates a shift in the computing power market from pure model training to inference applications [8]. - Industry insiders suggest that the competition for user traffic in the domestic large model market is intensifying, which will reshape AI interaction modes and drive explosive growth in inference-side computing power demand [9]. Technological Challenges - The advanced computing cluster system project will address complex engineering challenges, including cooling and power supply in high-density computing environments, which require interdisciplinary knowledge [5][6]. - The project has achieved a 20-fold increase in computing density through innovative designs, emphasizing the need for a systematic approach to tackle technical challenges [6]. Company Performance - In the first three quarters of 2025, Zhongke Shuguang reported a revenue of 8.82 billion yuan, a year-on-year increase of 9.68%, and a net profit of 966 million yuan, up 25.55% year-on-year [11].

作为全球开源社区中参数规模最大的科学多模态模型之一，Intern-S1-Pro的性能表现稳居全球第一梯 队。其通过多项SAGE基础模型层的技术创新，拓宽了模型应用边界、提升了超大规模训练可行性，推 进了可深度专业化通用模型的探索。 为构建能更深层次理解物理世界规律的科学大模型，研究团队引入了傅里叶位置编码（FoPE）并重构 了时序编码器。FoPE为AI赋予了双重视角：既能像看"粒子"一样捕捉文字之间的相对距离，又能像分 析"波"一样把握科学信号的整体规律与频率。科学数据与语言的差异还体现在多尺度上，基于能自动适 应数据密度的时序编码器，模型首次能统一处理从寥寥数个到百万级采样的各类信号，支持的分析对象 从天文、地理直接拓展至生理信号、生物声学等领域，从而实现感知能力的重大跃迁。 （来源：经济参考报） 日前，上海人工智能实验室宣布，开源基于"通专融合"技术架构SAGE打造的万亿参数科学多模态大模 型Intern（书生）-S1-Pro，为AI for Science（科学智能）从"工具革命"的1.0阶段迈向以"革命的工具"驱 动科学发现的2.0时代，提供了系统性开源基座。 上海人工智能实验室主任、首席科学家周伯文 ...

Core Insights - The article discusses the integration of artificial intelligence (AI) in drug development, particularly focusing on siRNA (small interfering RNA) technology, which has shown significant potential in silencing disease-causing genes. AI models, such as the "Nüwa RNA model," are enhancing the efficiency of siRNA drug screening processes, moving from traditional trial-and-error methods to more precise selection techniques [1][2]. Group 1: AI and Drug Development - The application of AI models has improved in vitro screening efficiency by approximately 1.6 times compared to traditional methods [1]. - The Nüwa RNA model, developed by the Shanghai Institute of Intelligent Science in collaboration with Fudan University, aims to create a living scientific intelligence infrastructure that can be continuously evolved and utilized by scientists [2][3]. - The model integrates over 1 billion RNA sequences, structures, functions, and chemical modifications, achieving leading performance in RNA structure prediction and reverse folding tasks [2]. Group 2: Research and Development Process - The Nüwa RNA model allows for the rapid selection of around 200 high-potential candidates from thousands of sequences within hours, significantly enhancing the drug development process [3]. - The model has already validated siRNA design processes for over five targets, with preliminary experiments conducted for chronic diseases such as hyperlipidemia and hypertension [3][4]. - A closed-loop system has been established, where experimental data is continuously fed back into the AI model, facilitating iterative improvements in drug design [4]. Group 3: Star River Intelligence Platform - The "Star River Intelligence" platform consolidates over 400 scientific models and tools, aiming to lower research barriers and streamline the entire research process [5][6]. - The platform has built a repository of 40,000 high-value scientific datasets and covers nearly 500 million scientific papers, enabling intelligent search and report generation [6]. - The platform is designed to integrate various data, models, and methods into a unified research environment, enhancing the systematic advancement of scientific inquiries [6][7]. Group 4: Collaborative Research and Innovation - The platform promotes cross-disciplinary collaboration, allowing scientists from different backgrounds to work alongside AI algorithm experts, fostering innovation in life sciences [7]. - Successful outcomes from the platform include high-level research results, such as the "Sui Ren Catalytic Reaction Model," which have been published in top journals [7]. - The platform has seen significant engagement, with approximately 23,000 daily visits and active use among over 7,600 students and faculty from Fudan University and its affiliated hospitals [7].