核心职责包括 前沿算法研究与构建：负责设计和实现领先的具身多模态大模型。您的研究将不仅限于现有的VLA框架，更将 探索如何构建能够理解复杂三维世界、并进行长时序、多步骤任务规划的世界模型 (World Model)。 核心模型能力攻关：主导模型在以下关键能力上的突破： 多模态场景理解：融合视觉、语言、雷达等多源信息，实现对动态、开放环境的深刻理解和空间感知。 职位描述 我们正在寻找一位杰出的研究员/科学家，加入我们的前沿探索团队，共同定义和构建下一代自动驾驶与机器人 的"大脑"。您将致力于突破性的具身基座模型 (Embodied Foundation Model) 的研究，该模型将深度融合视觉-语 言-行动 (VLA) 能力，并具备卓越的空间感知与空间推理能力。 复杂语义推理与决策：让模型能够理解模糊、抽象的人类指令，并结合对物理世界的空间推理，生成安全、合 理、可解释的行动序列。 学习与适应机制：深入研究强化学习 (RL)、模仿学习 (IL) 及自监督学习方法，使模型能从海量数据和与环境的 交互中持续学习和进化。 技术愿景与路线图：主导构建可泛化、高效率的具身智能基座模型，为未来1-3年的技术演进提供核心支 ...

洞见 （ DJ00123987 ） —— 不一样的观点，不一样的故事， 3000 万人订阅的微信大号。点击标题下蓝字 " 洞见 " 关注，我们将为您提供有价值、有意思的 延伸阅读。 作者：yebo 来源：每晚一卷书 （ID: JYXZ89896） 教育不是控制与塑造，而是滋养与唤醒。 ♬ 点上方播放按钮可收听 洞见主播安东尼朗读音频 最近这几天，高考成绩陆续放榜。 千千万万个学子，在十载寒窗苦读之后，终于品尝到了甘甜的果实。 河南开封有个叫代易瓒的姑娘考了724分，数学150分满分。 查分现场，父亲看到成绩后立马尖叫起来，与女儿紧紧相拥，这拥抱中，包含了多少辛酸、感慨、欣喜、激动…… 当我深入研究了上百位680分以上考生的家庭教育背景后，我发现： 辽宁一个叫林汐禹的男生，成绩刚刚公布，他的电话就被打爆了。 北京大学招生组的来电，都差点被他挂掉。 715分，是这个夏天最好的礼物，也是对自己最好的交代。 网友在对这些"天之骄子"表达祝贺的同时，也免不了由衷地感叹，这样优秀的孩子到底是怎么培养出来的？ 能养出学霸的，往往来自这5种家庭。 今年，来自沈阳东北育才学校的一对龙凤胎兄妹火了。 哥哥李和轩与妹妹李和芮，各自 ...

机器之心报道 编辑：杜伟 知名 AI 技术博主、《Python 机器学习》作者 Sebastian Raschka 又来放福利了！ 今天，他宣布，正值夏季实习和技术面试之际，自己著作《机器学习 Q 与 AI：30 个必备问答》的全部 30 章内容免费开放。他希望能为大家带来帮助，并 祝面试的小伙伴好运。 这本书纸质版（+ 电子版）原价 49.99 美元（约合 358 元），电子版原价 39.9 美元（约合 286 元）。 如今，机器学习和人工智能领域正以前所未有的速度发展。研究人员和从业者常常疲于追赶层出不穷的概念与技术。 本书为你的成长旅途提供了碎片化的知识精华 —— 从机器学习新手到专家，涵盖多个领域的主题。即便是经验丰富的机器学习研究者和从业者，也能从中 发现可纳入自身技能库的新内容 。 评论区有人问，「这本书是用 AI 写的吗？」Sebastian 称当然不是，这样做违背他的个人伦理。有趣的是：这本书的大部分内容写于 2022 年 11 月第一 版 ChatGPT 发布前的几个月，最开始是在 LeanPub 上发布，后来在 2024 年由 No Starch 出版社出版。这本书可能曾是 ChatGPT ...

Group 1 - The importance of data annotation for AI and ML is highlighted, as it enables machines to recognize patterns and make predictions by providing meaningful labels to raw data [2][5] - According to MIT, 80% of data scientists spend over 60% of their time preparing and annotating data rather than building models, emphasizing the foundational role of data annotation in AI [2][5] - Data annotation is defined as the process of labeling data (text, images, audio, video, or 3D point cloud data) to enable machine learning algorithms to process and understand it [3][5] Group 2 - The data annotation field is rapidly evolving, significantly impacting AI development, with trends including the use of annotated images and LiDAR data for autonomous vehicles, and labeled medical images for healthcare AI [5][6] - The global data annotation tools market is projected to reach $3.4 billion by 2028, with a compound annual growth rate of 38.5% from 2021 to 2028 [5][6] - AI-assisted annotation tools can reduce annotation time by up to 70% compared to fully manual methods, enhancing efficiency [5][6] Group 3 - The quality of AI models is heavily dependent on the quality of their training data, with well-annotated data ensuring models can recognize patterns and make accurate predictions [5][6] - A 5% improvement in annotation quality can lead to a 15-20% increase in model accuracy for complex computer vision tasks, according to IBM research [5][6] - Organizations typically spend between $12,000 to $15,000 per month on data annotation services for medium-sized projects [5][6] Group 4 - Currently, 78% of enterprise AI projects utilize a combination of internal and outsourced annotation services, up from 54% in 2022 [5][6] - Emerging technologies such as active learning and semi-supervised annotation methods can reduce annotation costs by 35-40% for early adopters [5][6] - The annotation workforce has shifted significantly, with 65% of annotation work now conducted in specialized centers in India, the Philippines, and Eastern Europe [5][6] Group 5 - Various data annotation types include image annotation, audio annotation, video annotation, and text annotation, each requiring specific techniques to ensure effective machine learning model training [9][11][14][21] - The process of data annotation involves several steps, from data collection to quality assurance, ensuring high-quality and accurate labeled data for machine learning applications [32][37] - Best practices for data annotation include providing clear instructions, optimizing annotation workload, and ensuring compliance with privacy and ethical standards [86][89]

在中国共产党成立104周年即将到来之际，6月30日，省委常委、市委书记吴桂英走访慰问老党员、困难党 员，向全市广大党员致以节日问候，并为基层党支部党员讲党课。 在雨花区跳马镇三仙岭村党群服务中心，吴桂英与村党总支、村委会成员和基层党员开展座谈，并讲授党 课。 在雨花区跳马镇三仙岭村党群服务中心，吴桂英听取基层深入贯彻中央八项规定精神学习教育、党建引领基 层治理有关情况，与村党总支、村委会成员和基层党员就发挥农村基层党组织战斗堡垒作用和党员先锋模范作 用、抢抓长株潭一体化机遇加快兴绿富民等开展座谈，并讲授党课。 讲党课现场。 6月30日，省委常委、市委书记吴桂英来到党员裴翠英家中慰问。 吴桂英慰问党员钟福盛及家人。 来到老党员裴翠英家中，吴桂英与老人促膝交谈，对其积极向上的生活态度表达敬意，希望她保重好身体， 继续发光发热，要求属地做好关怀帮扶工作，让老党员老有所养、老有所医、老有所乐。在生活困难党员钟福盛 家中，吴桂英关切询问其身体和生活情况，鼓励他坚定信心，保重身体，乐观面对生活，叮嘱有关方面用心用情 排忧解难，让困难党员真切感受到组织温暖。 吴桂英指出，以习近平同志为核心的党中央高度重视加强农村基层党组织 ...

招商局狮子山人工智能实验室 投稿 量子位 | 公众号 QbitAI 大模型可以不再依赖人类调教，真正"自学成才"啦？ 新研究仅通过 RLVR （可验证奖励的强化学习），成功让模型自主进化出 通用的探索、验证与记忆能力 ，让模型学会"自学"！ 当前主流的LLM Agent依然高度依赖于提示词工程、复杂的系统编排、甚至静态规则表，这使得它们在面对复杂任务时难以实现真正的智能 行为演化。 而来自招商局狮子山人工智能实验室的研究团队认为，RLVR范式是智能体（Agent）通往更高通用性和自主性的重要突破口。 于是，他们从两个关键层面出发构建了端到端Agent训练pipeline—— L0系统 ： 智能体架构层面 提出了结构化智能体框架——NB-Agent，在经典"代码即行动" （Code-as-Action） 架构基础上进行扩展，使智能体能够操作记忆/上下 文，从而获得类人类的记忆存储、信息总结与自我反思能力。 学习范式层面 探索了一个核心问题：是否可以仅通过RLVR范式，引导智能体从零开始，学会如何规划、搜索、验证与记忆，最终解决复杂的多轮推理 任务？ L0系统的框架、模型及训练集已 全部开源 ，详细可见文末链接。 ...

Group 1 - The core viewpoint emphasizes the importance of implementing the spirit of the Central Eight Regulations and enhancing the governance capabilities at the grassroots level to better serve the community [1] - Liu Xiaotao conducted an on-site inspection of the comprehensive governance center in Jinting Town, focusing on the optimization of service facilities and the effectiveness of community services [2] - Liu Xiaotao expressed gratitude to retired village medical worker Huang Shouxiang for his contributions to grassroots healthcare and encouraged him to inspire younger party members to serve the community [2] Group 2 - During a meeting in Shigong Village, Liu Xiaotao engaged with grassroots representatives and discussed various suggestions for improving local governance, including the introduction of smart monitoring in key fire areas and enhancing employment attractiveness in Xishan Island [3] - Liu Xiaotao responded to the suggestions made by grassroots representatives, urging relevant departments to thoroughly study and implement these proposals [3] - The city leadership expressed appreciation for the efforts of grassroots workers in contributing to rural revitalization and encouraged them to continue their dedication to community service [3]

Group 1 - The article emphasizes the importance of improving party conduct and governance at the grassroots level, highlighting various initiatives taken by local party organizations to address community issues and enhance service delivery [16][23]. - Jiangsu's Siyang County has initiated a comprehensive investigation into water supply issues affecting rural areas, leading to the identification and resolution of problems in 60% of the first batch of 12 problematic communities by mid-June [17][18]. - In Guangzhou's Nansha District, local authorities have established clear guidelines for government-business interactions to foster a healthy relationship while maintaining integrity, which includes defining safety zones and red lines for engagement [19][20]. Group 2 - Chongqing's Changshou District has adopted a community-driven approach to address local issues, successfully resolving over 30,000 community concerns this year by engaging residents and businesses in collaborative problem-solving [21][22]. - Ningxia's Yinchuan City has made significant strides in reducing bureaucratic formalities, allowing community workers to focus on practical issues rather than excessive paperwork, thus enhancing their ability to serve the public effectively [23][24].

Core Viewpoint - Several banks are integrating party building with business operations, focusing on five key areas: technology finance, green finance, inclusive finance, pension finance, and digital finance, to support high-quality economic development [1] Group 1: Service to the Real Economy - Banks are emphasizing financial services to the real economy as their fundamental purpose, leveraging monetary policy tools to ensure the implementation of major decisions from the central government [1][2] - Industrial and Commercial Bank of China (ICBC) is enhancing support for small and micro enterprises through digital transformation and innovative financing products, improving accessibility and convenience for customers [1] - Agricultural Bank of China is focusing on green development and ecological protection, increasing financial support for energy transition and environmental sustainability [2] - China Construction Bank is providing a comprehensive technology finance service system to support innovation and technology enterprises with tailored financial products [2] - Bank of China is enhancing services for foreign trade and investment, contributing to the internationalization of the Renminbi [2] Group 2: Risk Management - Banks are prioritizing risk management amidst market volatility, emphasizing the importance of internal controls and operational risk prevention [3] - ICBC is adopting a proactive approach to risk management, ensuring overall risk control through compliance and internal oversight [3] - Regional banks like Baode Rural Commercial Bank are focusing on precise risk prevention and enhancing compliance management to address potential issues early [3] Group 3: Compliance and Ethical Standards - Banks are conducting educational initiatives to reinforce compliance with central regulations, emphasizing integrity and ethical conduct among employees [4][5] - China Bank's leadership is advocating for a culture of accountability and discipline, aiming to resist corruption and maintain high ethical standards [4] - Shanghai Pudong Development Bank is integrating compliance education into daily operations to ensure effective implementation and high-quality development [5]

Core Points - The article emphasizes the importance of continuous learning within the Chinese Communist Party (CCP) as a key to its success and adaptability in changing times [4][5][6] - It highlights the historical context of learning in the CCP, tracing back to Mao Zedong's call for a "learning competition" and the establishment of a daily learning system for cadres [5][6] - The article discusses the current emphasis on enhancing the "learning ability" of party members as a response to complex global challenges and the need for knowledge in various fields [7][8] Group 1 - The Central Political Bureau has conducted over 100 collective learning sessions since the 18th National Congress, covering a wide range of topics from economic reforms to advanced technologies [4] - The learning system established by the CCP serves as a strong foundation for enhancing its governance capabilities [4][6] - Xi Jinping's call for a "learning revolution" reflects the necessity for party members to adapt to modern demands and continuously improve their knowledge and skills [5][7] Group 2 - The 19th National Congress report identifies "learning ability" as the foremost skill to be enhanced within the party [7] - The article stresses that the tasks of learning have become more challenging in the current era, necessitating a proactive approach to knowledge acquisition [7][8] - The commitment to learning is framed as essential for the CCP's future success and its ability to navigate complex political and social landscapes [8]