《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》提出，健全与人口变化相适应的 教育资源配置机制。近期出版发行的《党的二十届四中全会〈建议〉学习辅导百问》一书中，对"怎 样理解健全与人口变化相适应的教育资源配置机制"作出了详细解读。 2025.12. 11 本文字数：1526，阅读时长大约3分钟 作者 | 第一财经 林靖 12月10日至11日，中央经济工作会议在北京举行。此次会议部署2026年经济工作。其中在部署"坚 持民生为大，努力为人民群众多办实事"中强调，推进教育资源布局结构调整，增加普通高中学位供 给和优质高校本科招生。 近年来，出生人口变化对教育领域产生较大影响。当前，我国人口发展出现了新特征：小学在校生规 模已在2023年达峰，初中阶段预计明年达峰，高中阶段将在2029年达峰，高等教育学龄人口将在 2032年达峰。 中国教育科学研究院研究员储朝晖此前对第一财经分析，我国高等教育的毛入学率已经超过了 60%，但优质本科只是一个比较小的比例。现在的情况是，上大学不难，但上好大学比较难。而要 解决上大学不难、上好大学难的问题，就必须在高等教育上面实现扩优提质，从现有的优质的大学本 科中去推进。 ...

点击免费限量礼盒 摘要 ： 近日，上海交通大学发布多批政府采购意向，仪器信息网特对其中的仪器设备品目进行梳理，统 计出45项仪器设备采购意向，预算总额达1.12亿元。 特别提示 微信机制调整，点击顶部"仪器信息网" → 右上方"…" → 设为 ★ 星标，否则很可能无法看到我 们的推送。 近日， 上海交通大学发布 45 项仪器设备采购意向，预算总额达 1.12 亿 元，涉及细胞培养 与制备系统 、核酸材料质检系统、高通量蛋白/代谢定量分析系统、 JUST光谱望远镜近红外 光谱仪相机系统 、可移动式多组分排放分析仪 等，预计采购时间为202 5 年 10~12 月。 相关采购： 1.59亿元！上海交通大学近期大批仪器采购意向 2025.11 | 1.05亿元！上海交通大学采购大批仪器 | 2025.10 | | --- | --- | | 1.06亿元！上海交通大学采购大批仪器设备 | 2025.10 | | 近3亿大单！上海交通大学公布10月大批采购意向 | 2025.10 | | 1.05亿元！上海交通大学近期大批仪器采购意向 | 2025.7 | | 1.04亿元！上海交通大学近期采购大批仪器 | 2025 ...

中新网上海12月8日电 (记者 许婧)华人演员、上海交通大学校友卢燕8日携家人好友重返母校，与 上海交大师生共忆在校时光、畅谈艺术人生，传递跨世纪的赤子情怀与文化担当。 "这个跨越三个世纪的母校，启迪我的演艺生涯，温润我的艺术心灵，与我世纪之交，一生相 随。"谈及与母校的渊源，卢燕满怀感慨。她还提前为母校建校130周年送上诚挚祝福："我由衷祝福她 硕果盈枝，桃李满园。" 活动现场。上海交通大学供图 卢燕1927年1月出生于北京市。1945年，卢燕进入交通大学，就读于财务管理系，后远赴海外求 学，成为首代好莱坞华人影星和首位奥斯卡金像奖终身评委。她不仅是一位杰出的表演艺术家，还是一 位中美文化交流互鉴的推动者，因在中美电影领域的突出贡献获得多个影节颁发的"终身成就奖"，被美 国业界称为"好莱坞的东方明珠"。 当天，卢燕学长师生见面会暨《燕归来》赠书会在上海交大举行。《燕归来》这部历经十余年打 磨、近27万字的自传，镌刻着卢燕与母校跨越数十载的深厚情谊，细数了她银幕生涯中的闪亮足迹、珍 贵瞬间与真挚艺坛情缘。卢燕还专程参观了"到家"——上海交通大学藏卢燕校友珍档展。该展览首次集 中展示她在校期间学籍档案以及捐赠学 ...

Core Insights - The conference aims to enhance academic exchange and collaboration in the field of partial differential equations (PDEs) and related areas, highlighting the importance of PDEs in the context of artificial intelligence [1][4][21] Group 1: Conference Overview - The "2025 National Academic Annual Conference on the Theory and Application of Partial Differential Equations and the Operations Research and Artificial Intelligence Academic Forum" was held in Qingyuan, Guangdong, from December 6 to 7 [1] - The event was organized by several institutions, including the Center for Applied Mathematics at Sun Yat-sen University and the Guangdong-Hong Kong-Macao Greater Bay Area Interdisciplinary Science Society [1][4] Group 2: Keynote Addresses - Professor Yao Zheng'an emphasized that PDEs are entering a new era of opportunities, particularly in validating AI solutions through rigorous theoretical frameworks [4] - Professor Xin Zhouping highlighted the dual nature of good mathematics, which should be profound and easily communicable, and noted the bridging role of PDEs between various fields [6] - Professor Zhu Xiping supported the idea of PDEs as a bridge to both pure and applied mathematics, stressing their significance in practical applications [8] Group 3: Research Presentations - Various scholars presented their latest research findings, including: - Professor Wang Weike from Shanghai Jiao Tong University discussed the existence of solutions for the Keller-Segel equation with Couette flow [13] - Professor Yin Jingxue from South China Normal University reported on recent advancements in semi-linear parabolic equations with nonlinear source terms [15] - Professor Chen Hua from Wuhan University presented on fine embeddings and geometric inequalities related to generalized Sobolev spaces defined by Hermite vector fields [17] - Professor Jin Shi from Shanghai Jiao Tong University introduced the quantum computing platform "UnitaryLab" aimed at solving ordinary and partial differential equations using quantum algorithms [19] Group 4: Institutional Background - The Center for Applied Mathematics at Sun Yat-sen University in Hong Kong aims to gather top global talents and promote deep integration between mathematical theory innovation and engineering technology applications [21] - The center has established close collaborations with several prestigious universities and research institutions in Hong Kong, focusing on key areas such as new information technology, intelligent manufacturing, and healthcare [21]

Core Insights - The article introduces CoT4AD, a new Vision-Language-Action (VLA) framework designed to enhance logical and causal reasoning capabilities in autonomous driving scenarios, addressing limitations in existing VLA models [1][3][10]. Background Review - Autonomous driving is a key research area in AI and robotics, promising improvements in traffic safety and efficiency, and playing a crucial role in smart city and intelligent transportation system development [2]. - Traditional modular architectures in autonomous driving face challenges such as error accumulation and limited generalization, leading to the emergence of end-to-end paradigms that utilize unified learning frameworks [2][3]. CoT4AD Framework - CoT4AD integrates chain-of-thought reasoning into end-to-end autonomous driving, allowing for explicit or implicit reasoning through a series of downstream tasks tailored for driving scenarios [3][10]. - The framework combines perception, language reasoning, future prediction, and trajectory planning, enabling the generation of explicit reasoning steps [6][10]. Experimental Results - CoT4AD was evaluated on the nuScenes and Bench2Drive datasets, achieving state-of-the-art performance in both open-loop and closed-loop assessments, outperforming existing LLM-based and end-to-end methods [10][19]. - In the nuScenes dataset, CoT4AD achieved L2 distance errors of 0.12m, 0.24m, and 0.53m at 1s, 2s, and 3s respectively, with an average collision rate of 0.10% [17][18]. Contributions of CoT4AD - The model's design allows for robust multi-task processing and future trajectory prediction, leveraging a diffusion model integrated with chain-of-thought reasoning [10][12]. - CoT4AD demonstrates superior performance in complex driving scenarios, enhancing decision-making consistency and reliability across diverse environments [19][23]. Ablation Studies - The effectiveness of various components, such as perception tokenizers and the chain-of-thought design, was validated through ablation studies, showing significant performance improvements when these elements were included [26][28]. - The model's ability to predict future scenarios was found to be crucial, with optimal performance achieved when predicting four future scenarios [29]. Conclusion - CoT4AD represents a significant advancement in autonomous driving technology, demonstrating enhanced reasoning capabilities and superior performance compared to existing methods, while also highlighting areas for future research to improve computational efficiency [30][32].

参考丨上海交大、量子位等 点击下方 卡片 ，关注" 具身智能之心 "公众号 首个吃螃蟹的高校来啦！本月，上海交通大学发布公告正式拟增具身智能本科专业（不再是机器人工程等相关专业）。具身是一个交叉学科，涉及的 内容非常多，此时推出具身专业可以看出教育领域已经开始注意到相关产业的高速发展和人才的供不应求。不出意外，具身智能的风很快将吹遍大多 高校。 本专业将隶属于人工智能学院计算机类，授予工学学位，修读年限为四年。预计年度招生人数30人，其中升学人数25人，占比约83%。专业的带头人 将会由卢策吾老师担任，他本人现为上海交通大学人工智能学院副院长。 保姆级 具身智能方向论文辅导来啦! 我们提供的辅导服务 顶会 / 顶刊 / SCI / EI / 中文核心 毕业论文 / 申博辅导 / 比赛辅导等 不会选方向? 无人辅导 OR 科研能力不够? 具身智能之心提供保姆级的论文 辅导服务,一键上岸! >> 点击进入→ 具身 智能之心 技术交流群 更多干货，欢迎加入国内首个具身智能全栈学习社区： 具身智能之心知识星球（戳我） ，这里包含所有你想要的! 添加小助理微信 oooops-life咨询更多 二) 具身智能社区 具身智 ...

Core Viewpoint - The State Intellectual Property Office of China has reported that China Petroleum & Chemical Corporation (Sinopec), Sinopec Petroleum and Chemical Research Institute Co., Ltd., and Shanghai Jiao Tong University have applied for a patent titled "A Hard Carbon Material and Its Preparation Method, Battery Anode, and Sodium-Ion Battery" with publication number CN121020544A, filed on May 2024 [1] Group 1 - The patent application involves a hard carbon material and its preparation method, which is relevant for battery anodes and sodium-ion batteries [1] - The method described in the patent includes specific steps, starting with the precursor at a temperature T [1]

Core Insights - The number of global champion disciplines in Chinese mainland universities has increased to 21, with three new disciplines achieving world firsts in 2025 GRAS rankings [1][2] - The rankings reflect the growing emphasis on interdisciplinary studies in response to technological revolutions and industrial transformations [1][2] Group 1: Rankings and Achievements - Chinese mainland universities ranked first in three disciplines: Power Electronics Engineering, Biomedical Engineering, and Materials Science and Engineering [1][2] - The total number of disciplines ranked in the GRAS has reached 57, covering five major fields: natural sciences, engineering, life sciences, medicine, and social sciences [1][2] - The United States maintains the lead with 27 disciplines ranked first, totaling 4,281 mentions, while Chinese universities follow with 3,747 mentions across 21 disciplines [2] Group 2: Institutional Highlights - Tsinghua University leads with seven champion disciplines, followed by Harvard University with eleven [2] - Shanghai Jiao Tong University and Beijing University of Aeronautics and Astronautics each have one champion discipline [2] - The increase in champion disciplines indicates a shift from follower to leader status for several Chinese universities in their respective fields [2] Group 3: New Disciplines and Trends - The newly added champion disciplines include Artificial Intelligence and Robotics Science and Engineering, reflecting the growing importance of these fields [1][2] - The demand for professionals in Artificial Intelligence is projected to increase sixfold by 2030, highlighting the urgency for educational institutions to adapt [9][10] - The establishment of interdisciplinary research platforms and funding initiatives at institutions like Shanghai Jiao Tong University is driving innovation in health technology [5][9] Group 4: Policy and Structural Changes - The Ministry of Education's reform plan aims to optimize and adjust 20% of academic programs by 2025, leading to the establishment of 3,229 new undergraduate programs and the discontinuation of 2,534 [5][6] - The focus on strategic emerging industries and foundational disciplines is part of a broader initiative to cultivate top-tier innovative talent [6][7]

Core Insights - The article highlights the publication of 22 papers in the prestigious journal Nature on November 26, with 7 authored by Chinese scholars, showcasing the significant contributions of Chinese researchers in various scientific fields [3][5][7][9][11][12][14][16]. Group 1: Research Contributions - Celine Chen from Rockefeller University published a paper on thalamocortical transcriptional gates and memory stabilization [3]. - Michael M. Shen and Lu Chao from Columbia University co-authored a study on NSD2 targeting in prostate cancer, addressing plasticity and drug resistance [5]. - A team from Zhejiang University, including academicians Cai Xiujun and Yang Wei, published research on mechanical transmission and robotic operation [7]. - Liang Wanqi from Shanghai Jiao Tong University co-authored a paper on how ethylene modulates cell wall mechanics in response to soil compaction [9]. - Research by Fu Qiaomei from the Chinese Academy of Sciences focused on ancient DNA from Shimao city, revealing kinship practices in Neolithic China [11][12]. - A study from the Shanghai Artificial Intelligence Laboratory on glasses-free 3D displays using deep learning was also published [14]. - The Chinese University of Science and Technology, represented by academicians Du Jiangfeng and Wang Ya, published research on entanglement-enhanced nanoscale single-spin sensing [16].

漫步在乌鲁木齐的大巴扎时，一位摊主从炭炉里取出一块热腾腾的萨姆萨递到我手里——酥脆的口感加 上浓浓的胡椒味，竟和英国的康沃尔馅饼有几分相似。他先是用维吾尔语问候我，看我有些疑惑，又笑 着换成英语："Hey bro, where are you from?" (哥们儿，你是哪里人？)那一刻，我几乎以为自己回到了英 国。然而，这里是中国最西北的地区--新疆。 校园的节奏也让我觉得舒适。我的班级通常只有10到20名学生，因此，我能倾听每一个学生的声音。我 讲授的知识他们吸收了多少，能得到直接的反馈，我还能亲眼看着学生在课堂上慢慢地、自信地成长。 通常，当我走进一家小店时，老板会先用维吾尔语招呼我，他们以为我是本地人。我一愣，他们便笑着 改用普通话，说我长得像他们的"表弟"，仔细一看，才发现我其实是外国人。 我穿行在那些从未见过的食物摊位间，经过挂满土耳其风格铜灯的摊档，再往前，每隔几分钟就能看到 一座清真寺，仿佛走进了一个既陌生又熟悉的新世界。与他们交流，我想，也许这里可以成为我的家。 我在人生的十字路口，选择了新疆。凭借统计学博士学位，我曾收到中国多地的工作邀约，甚至还有一 家英国顶尖人工智能公司的高薪职位。但新 ...