Group 1 - The meeting emphasized the importance of implementing the spirit of the Central Eight Regulations and enhancing the political stance of party members [1][2] - Focus will be on addressing issues such as increasing burdens on grassroots, improper dining, and the misuse of funds, with a strong commitment to rectification [2] - The need for a systematic approach to ensure the effectiveness of learning and education initiatives was highlighted, aiming for long-term institutional mechanisms [2] Group 2 - The meeting was chaired by Fang Hongwei, who stressed the importance of strict adherence to work and integrity disciplines among supervisory teams [2] - Coordination among municipal work teams is essential for timely communication of central and provincial requirements [2][3] - The meeting included participation from various city-level officials and supervisory group leaders to ensure comprehensive engagement in the educational efforts [2]

在近20年AI发展的路线上，我们正站在⼀个前所未有的转折点。从早期的符号推理到深度学习的突破，再到 如今⼤语⾔模型的惊艳表现， AI 技术的每⼀次⻜跃都在重新定义着⼈类与机器的关系。⽽如今，具身智能正 在全面崛起。 想象⼀下这样的场景：⼀个机器⼈不仅能够理解你的语⾔指令，还能在复杂的现实环境中灵活移动，精确操作 各种物体，甚⾄在⾯对突发情况时做出智能决策。这不再是科幻电影中的幻想，⽽是正在快速成为现实的技术 ⾰命。从Tesla的Optimus⼈形机器⼈到Boston Dynamics的Atlas，从OpenAI的机械⼿到Google的RT-X项⽬，全 球顶尖的科技公司都在竞相布局这⼀颠覆性领域。具身智能的核⼼理念在于让AI系统不仅拥有"⼤脑"，更要拥 有能够感知和改变物理世界的"身体"。这种AI不再局限于虚拟的数字空间，⽽是能够真正理解物理定律、掌握 运动技能、适应复杂环境。它们可以在⼯⼚中进⾏精密装配，在医院⾥协助⼿术操作，在家庭中提供贴⼼服 务，在危险环境中执⾏救援任务。这种技术的潜在影响⼒是⾰命性的：它将彻底改变制造业、服务业、医疗健 康、太空探索等⼏乎所有⾏业。 从顶级会议ICRA 、IROS到Neu ...

Group 1 - The meeting emphasized the importance of high-quality development and the construction of a new development pattern, focusing on the "two highs and four efforts" strategy [1] - The meeting highlighted the need to align with national and provincial "14th Five-Year" plans, conducting thorough research and gathering opinions for informed decision-making [1] - The meeting underscored the significance of capability and style construction as a key approach to achieving high-quality development and effective governance [1] Group 2 - The meeting discussed the promotion of recycled water utilization, advocating for water conservation and sustainable use to support modern urban construction and environmental protection [2] - The meeting addressed strategies to boost consumption, particularly in key areas, enhancing night-time consumption offerings and optimizing service to expand the influence of the "Beautiful Night Zhengzhou" brand [2] Group 3 - The meeting also reviewed preparations for major events such as the 2024-2025 Global Invention Conference National Finals in China [3]

Group 1: Core Perspectives - The construction of a strong education system requires systematic leaps and qualitative changes at both macro and micro levels [1] - Key issues must be addressed by gathering resources such as policies and funding to build a superior ecosystem [1] Group 2: Higher Education Technology Transfer - The Ministry of Education held a national meeting to promote the construction of regional technology transfer centers in universities [3] - Successful integration of technological and industrial innovation relies on strong universities, capable entrepreneurs, and financial support [3] - The first regional center in Jiangsu has demonstrated significant results in gathering various innovation elements and has set a precedent for future centers [3] Group 3: Educational Digitalization - The Ministry of Education emphasized the need for a new learning ecosystem that promotes lifelong learning through collaboration among schools, families, and society [4] - A successful learning society requires sufficient resource supply, convenient learning environments, and comprehensive incentive mechanisms [4] - The educational digitalization strategy is advancing through iterative processes, achieving significant progress in ecosystem integration [4] Group 4: Overall Education Reform - The acceleration of building a strong education system highlights the importance of organized integration and effective mechanism design [5] - There is a need to study non-educational factors that contribute to educational reform and to establish efficient systems and mechanisms [5]

Core Idea - The article discusses the educational philosophy of Grundtvig, a significant Danish thinker who advocated for universal education and lifelong learning, breaking the monopoly of the elite on education and laying the foundation for Denmark's public education system [1][2][3]. Group 1: Grundtvig's Philosophy and Impact - Grundtvig's philosophy emphasizes that education should be accessible to everyone, regardless of their social status, and focuses on awakening the human spirit rather than merely imparting knowledge [2][3]. - He believed that the enlightenment of the populace was essential for national strength and advocated for fundamental reforms in education, establishing adult schools for farmers, workers, and ordinary citizens [2][3]. - Grundtvig founded Denmark's first adult school in 1844, promoting an open educational model where students could choose courses based on their interests, fostering lifelong learning and cultural enrichment [3]. Group 2: Development of Adult Education in Denmark - Under Grundtvig's influence, adult schools proliferated in Denmark, significantly enhancing the cultural quality and economic development of the populace [3]. - The cooperative movement in agriculture, inspired by the education provided in these adult schools, improved product quality and market resilience, contributing to Denmark's modern agricultural success [3]. - Today, Denmark has approximately 70 adult schools, which are integral to the national education system, with a literacy rate of 99% and a higher education enrollment rate of 85% [3].

作者 | Zh.ai 编辑 | 自动驾驶之心 原文链接： https://zhuanlan.zhihu.com/p/1920858767987308475 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 WAD前五名 纯视觉端到端驾驶比赛前五名，第一名Poutine（截至2025.6.25） 技术报告： 比赛第一名方案： Poutine Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End- to-End Autonomous Driving 技术摘要： 1. 主体是3B参数VLM，解决视觉端到端自动驾驶长尾场景； 大模型预刷生产annotations 2. 两阶段训练： 技术方案： a. 阶段一预训练。自监督，vision- language- trajectory，next-token prediction方式，训练数据8 ...

| 高频选股因子周报（20250623- | [Table_Authors] | 郑雅斌(分析师) | | --- | --- | --- | | 20250627） | | 021-38676666 | | 高频因子上周表现分化，日内收益与尾盘占比因子强势。深度 | 登记编号 | S0880525040105 | | 学习因子依然稳健， AI 增强组合上周表现有所分化。 | | | | | | 余浩淼(分析师) | | 本报告导读： | | 021-38676666 | | 上周（特指 20250623-20250627，下同）高频因子上周表现分化，日内收益与尾盘占 比因子强势。深度学习因子依然稳健，AI 增强组合上周表现有所分化。 | 登记编号 | S0880525040013 | 投资要点： 金融工程/[Table_Date] 2025.06.29 金 融 工 程 周 报 证 券 研 究 报 告 请务必阅读正文之后的免责条款部分 金 融 工 程 [Table_Summary] 高频因子上周表现分化，日内收益与尾盘占比因子强势：日内高频 偏度因子上周、6 月、2025 年多空收益为-0.51%，1.48% ...

以下文章来源于具身智能研究室 ，作者Yuanxq 具身智能研究室 . 分享一些深度强化学习、多/单智能体、具身智能的相关知识。有缘更新，随缘关注。希望大家互相学 习补充。 作者丨 Yuanxq 编辑丨具身智能研究室 点击下方 卡片 ，关注" 具身智能之心 "公众号 >> 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。 在复杂动态环境中实现四足机器人的安全高效移动，一直是机器人领域的核心挑战。传统方法 依赖深度相机或中间地图表示，难以应对三维空间中的非平面障碍、空中杂波及动态物体。香 港科技大学团队提出 Omni-Perception 框架，通过直接处理原始 LiDAR 点云数据， 实现了端到端的四足机器人全向避障能力。通过高保真 LiDAR 仿真工具和新型 PD-RiskNet 网络架构，推动了机器人在复杂三维环境中的自主导航技术。 1 、从 LiDAR 点云到全向避障的端到端设计框架 1.Omni-Perception 的核心架构解析 感知-控制一体化设计 优势： 时空信息直接利用 ：避免了点 云到网格 ...

点击下方 卡片 ，关注" 具身智能 之心 "公众号 作者丨 Tian-Yu Xiang等 编辑丨具身智能之心 本文只做学术分享，如有侵权，联系删文 >> 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。 想象学习走路的情景：尽管祖先的经验让一些与生俱来的能力（例如：平衡感、反应）被编码到我们的 DNA中，但要真正学会走路，仍需要在真实环境中不断练习、摔倒、再爬起。经过一段时间的训练，我们 的大脑和身体会逐渐协调一致，形成与环境交互的策略。这种 由通用能力到特定技能 的转变过程在人类中 十分常见，而如今， 智能机器人 也面临着类似的挑战：即便拥有强大的预训练模型作为"大脑"，在执行具 体复杂任务前，仍需要经过类似于人类学习的"后训练"阶段，才能在新环境、新任务下达到理想表现。 1. 概述 这项工作从 人类运动技能学习 的角度系统性地对总结 VLA模型（视觉-语言-动作模型） 的 后训练（post- training）策略 。其主要贡献如下： (1) 从人类运动学习视角讨论了VLA模型后训练方法 ：将人类运动技能 ...

机器之心报道 机器之心编辑部 这两天 Andrej Karpathy 的最新演讲 在 AI 社区引发了热烈讨论，他提出了「软件 3.0」的概念，自然语言正在成为新的编程接口，而 AI 模型负责执行具 体任务。 Karpathy 深入探讨了这一变革对开发者、用户以及软件设计理念的深远影响。他认为，我们不只是在使用新工具，更是在构建一种全新的计算范式。 回顾 LLM 的发展历程：自 2017 年 Transformer 架构问世以来，我们见证了 GPT 系列的一路高歌猛进，以及多模态能力和端侧应用的全面开花。整个 领域正以前所未有的速度演进。 要深入理解这场变革的本质，我们需要回到技术的源头。那些奠定今天 AI 能力的关键论文，不仅记录着算法的演进轨迹，更揭示了从传统编程到自然语言 交互这一范式转变的内在逻辑。 此前我们通过 50 个核心问题回顾了 LLM 的基础概念 。今天，我们将梳理自 2017 年以来 LLM 领域的重要论文。本文从 X 用户 Pramod Goyal 的论文 盘点中精选了 22 篇进行详细介绍，其余论文将在文末列出供读者参考。 奠基理论 Attention Is All You Need ...