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]

Core Insights - The article discusses the integration of AI, particularly the DeepSeek model, into the automotive finance sector, highlighting the importance of data accumulation, scenario understanding, and algorithm innovation as key to building competitive barriers in the industry [1][6]. Industry Trends - The fusion of AI with automotive finance is advancing, with a focus on leveraging data and innovative algorithms to address compliance and transparency challenges [1][4]. - Hong Kong is positioned to become a critical node in cross-border data governance and standard-setting due to its status as an international financial center [1][6]. Data Security and Compliance - The company adheres to strict compliance requirements in data usage, employing federated machine learning to allow collaborative AI model training without sharing raw data, and implementing data anonymization for internal use [4][5]. - The challenges in applying AI in vertical fields include ensuring high-quality outcomes while maintaining transparency in decision-making and adhering to stringent data security regulations [5]. Opportunities and Challenges - In the next 3 to 5 years, opportunities in automotive finance will arise from AI empowering the industry and serving companies with international expansion strategies, with Hong Kong playing a significant role in unified data governance [6][7]. AI Model Development - The DeepSeek model is noted for its lower costs and strong algorithm capabilities, achieved through innovations in algorithm engineering and structure [7]. - The company has developed the YiXin-Distill-Qwen-72B inference model, the first open-source large-scale inference model in the automotive finance sector, which performs comparably to DeepSeek-r1 [7][8]. AI Innovation and Application - The company aims to automate complex decision-making processes in automotive finance, significantly enhancing industry efficiency through AI-driven solutions [8]. - The company possesses three core advantages: a vast repository of automotive data assets, extensive experience in AI training and inference, and a comprehensive talent pool, computational power, and high-quality data [8].

Core Viewpoint - The competition aims to advance research in spatial intelligence and embodied intelligence, focusing on visual perception as a key supporting technology for applications in autonomous driving, smart cities, and robotics [2][4]. Group 1: Competition Purpose and Significance - Visual perception is crucial for achieving spatial and embodied intelligence, with significant applications in various fields [2]. - The competition seeks to promote high-efficiency and high-quality research in spatial and embodied intelligence technologies [4]. - It aims to explore innovations in cutting-edge methods such as reinforcement learning, computer vision, and graphics [4]. Group 2: Competition Organization - The competition is organized by a team of experts from institutions like Beijing University of Science and Technology, Tsinghua University, and the Chinese Academy of Sciences [5]. - The competition is sponsored by Beijing Jiuzhang Yunjing Technology Co., Ltd., which also provides technical support [5]. Group 3: Competition Data and Resources - Participants will have access to real and simulated datasets, including multi-view drone aerial images and specific simulation environments for tasks [11]. - The sponsor will provide free computing resources, including H800 GPU power, for validating and testing submitted algorithms [12][13]. Group 4: Task Settings - The competition consists of two tracks: Spatial Intelligence and Embodied Intelligence, each with specific tasks and evaluation methods [17]. - Spatial Intelligence requires building a 3D reconstruction model based on multi-view aerial images, while Embodied Intelligence involves completing tasks in dynamic occlusion scenarios [17]. Group 5: Evaluation Methods - Evaluation for Spatial Intelligence includes rendering quality and geometric accuracy, with scores based on PSNR and F1-Score metrics [19][20]. - For Embodied Intelligence, evaluation focuses on task completion and execution efficiency, with metrics such as success rate and average pose error [23][21]. Group 6: Submission and Awards - Results must be submitted in a specified format, and top-ranking teams will have their results reproduced for evaluation [24]. - Awards for each track include cash prizes and computing vouchers, with a total of 12 awards distributed among the top teams [25].

Core Insights - Bosch announced an investment of over €2.5 billion in artificial intelligence by 2027, predicting that sales of software, sensor technology, high-performance computing units, and vehicle communication components will double by 2035, potentially exceeding €10 billion in sales [1][3] - The company aims to leverage AI in advanced driver assistance and autonomous driving, combining AI with deep industrial knowledge to enhance vehicle safety and reduce product development cycles [1][3] Investment and Sales Projections - Bosch's investment in AI is part of a broader strategy to capitalize on the growing market for autonomous driving technologies [1] - The company forecasts that by 2035, the sales of relevant components will surpass €10 billion, driven by advancements in AI and sensor technologies [1][3] Technological Advancements - Bosch has deployed AI in cameras and radar systems to enhance object recognition and environmental perception, allowing vehicles to make informed driving decisions [1] - The integration of generative AI models enables Bosch to simulate various driving conditions, enhancing the training of AI systems with over 200 petabytes of global traffic scene data [2] Collaborative Efforts and Global Strategy - Bosch is collaborating with innovative players in AI technology to apply new advancements directly to products, particularly in the context of autonomous driving [3] - The company has established a successful partnership with Chery in China, creating an AI computing cluster and utilizing local data for model training through federated learning [3] Market Trends and Consumer Influence - The trend towards advanced driver assistance systems is driven by consumer demand, with Bosch believing that these technologies will be crucial for attracting buyers in the Chinese market [3] - Bosch anticipates that the expansion of autonomous driving technology will lead to long-term commercial success, with significant growth expected in various global markets [3]

作者丨 视觉语言导航 编辑丨 视觉语言导航 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。 主要贡献 自主导航无人机的基础 | UAV Type | Perception | Control Archi- | Decision System | Autonomy | Task | | Communication | | --- | --- | --- | --- | --- | --- | --- | --- | | | Modality | tecture | | Level | Adapt- | | Interface | | | | | | | ability | | | | Traditional | Monocular or | Rule-based | Deterministic. | Level 1-2 | Static | | Line-of-sight, | | UAVs | stereo RGB | flight con- | s ...

Group 1 - The article emphasizes the importance of choosing a reliable programming training institution, particularly in the context of limited local options in Tongling [1][3] - It suggests that courses should be practical and cover mainstream technologies like Python, Java, and front-end development, with a focus on real project experience [3][4] - The quality of instructors is highlighted, recommending prospective students to attend trial classes to assess teaching effectiveness [3][4] Group 2 - The learning environment is crucial; institutions with mechanisms for accountability, such as project reviews and attendance tracking, are preferred to prevent students from losing motivation [3][4] - Online learning is presented as a viable option, especially for students in non-first-tier cities, with a success story of a student transitioning to a tech job after completing an online Java course [4][5] - The article mentions a specific online education provider, Wangshidai Education, which has a strong reputation, high employment rates, and offers comprehensive Java courses with practical projects [4][5]

暑期消费热力十足，"后高考经济""毕业经济"热度居高不下，电子产品、生活电器消费迅速升温，折射 出年轻人消费新趋势。消费需求集中释放带动线下门店客流攀升，苏宁易购门店凭借品质化产品、场景 化体验、定制化服务承接暑期家电3C消费热潮。 苏宁易购相关负责人介绍，高考后至放榜期间，以电子产品为代表的"奖励式消费"迎来高峰。6月10日 至6月25日，手机、电脑、智能手表手环销售同比增长43%、69%、234%。不少家长为孩子备上"数码全 家桶"，手机、电脑、平板等数码套购订单增长近一倍。在北京中塔Suning Max店，胡同学在父母的陪 同下购入包括手机、电脑、平板、耳机在内的"数码四大件"，"查完分就来了，和爸妈一起把开学装备 选一下，店里品牌型号比较全，整套买也有折扣，很方便。" 一批莘莘学子即将迈入大学，另一批年轻人离开校园走入社会，开启新生活，苏宁易购门店为不同阶段 的年轻人提供生活方式新提案。在南京徐庄广场Suning Fun，彭同学即将和好友开启合租生活，"虽然 是租房，但生活是自己的，我们买了投影仪，不仅提升幸福感，未来搬家也方便"，在门店的露营装备 区，彭同学准备一并购入移动电源，"周末出去玩用得上" ...

温馨提示 ： 点击下方图片，查看运营团队2025年6月最新原创报告（共235页） 说明： 欢迎 约稿、刊例和商务合作、行业人士交流 ， 行业交流记得先加入 "机器人头条"知识星球 ，后添加（ 微信号： lietou100w ）微信； 若有侵权、改稿请联系编辑运营（微信：li_sir_2020）； 正文： 随着人工智能和大模型技术发展，具身智能赛道成为如今最火赛道之一；具身智能技术领域具体会涉及到大语 言模型（LLM）、视觉多模态模型（VLM）、强化学习（Reinforcement Learning）、深度强化学习（Deep Reinforcement Learning）、模仿学习（Imitation Learning）等诸多前沿技术。 人形机器人发展多年，从最初基于 模型的控制算法（LIPM+ZMP），到动态模型控制和最优控制算法 （MPC+WBC），到如今的模拟+强化学习（IL+RL），当然现阶段也有不少人形机器人公司采用MPC方式，各类 算法没有绝对的替代关系，各有优劣；IL+RL是目前人形机器人公司最常提起的概念，基本都是高校和头部科技 大厂内研发机构在研究，也是为什么目前人形机器人初创公司以"学院派" ...