Group 1 - The 25th China International Industry Fair (CIIF2025) was held in Shanghai, showcasing the advancements in MCU, storage, and analog chip solutions by the company, focusing on embodied intelligent devices [1] - The company’s MCU division manager highlighted that 2025 is a critical year for humanoid robots to achieve mass production and commercial viability, with hardware system maturity being essential for this transition [1][2] - The company has developed a comprehensive product matrix covering control, storage, and analog solutions to support humanoid robots, emphasizing the importance of chip performance and efficient communication for real-time responsiveness and intelligence [2] Group 2 - The company’s GD32 high-performance MCU is designed for multi-joint real-time motion control and system scheduling, enabling high-speed data interaction among joints, sensors, and controllers [2] - The company reported a total revenue of 4.15 billion yuan in the first half of 2025, a 15% year-on-year increase, with a net profit of 575 million yuan, reflecting an 11.31% growth [2] - The MCU product line has become a strategic focus for the company, achieving nearly 20% growth year-on-year in the first half of the year [2][3] Group 3 - The company’s revenue sources are primarily from consumer and industrial sectors, with significant growth in the networking sector and steady performance in the industrial sector [3] - The company has mass-produced over 700 MCU products across 64 major series, including the GD32H7 series, which is the first domestically produced MCU based on the M7 core [3] - The company is actively pursuing AI strategies and plans to invest in customized storage and AI MCU businesses, targeting applications in embodied intelligent products [3]

浩海星空专注于具身智能、商用服务及消费类机器人的研发与创新，构建起覆盖教育、医疗、商业三大 核心场景的产品线矩阵，并已推向市场。而公司则在汽车领域积淀30 年的高端精密制造经验、严苛质 量管理体系及成熟供应链资源, 合资共建机器人制造基地后将大幅强化浩海星空整机交付能力。目前， 浩海星空正在研发双足大尺寸人形机器人系列产品，此次与公司的合作正是为未来量产做好重要铺垫。 此外，台州有丰富的机器人供应链，能有效降低合资公司的制造成本。 汽车密封条龙头地位稳固，在研项目、在手订单丰富，先进产能持续拓展 公司作为汽车密封条行业龙头，工装模具的自制率达到90%以上，成本控制能力突出。同时，公司客户 资源丰富，涵盖一汽大众、上汽大众、上汽通用、吉利、长安、上汽、广汽、一汽、奇瑞、长城、伟巴 斯特、上汽通用五菱、北汽、滋荣等。截至2024 年底，公司统计在研新项目车型42 个，新接项目总数 超过2023年项目的2 倍。产能方面，公司持续推进智能化制造和先进产能拓展，二期混炼胶生产线、新 增橡胶挤出生产线、后工序自动化设备等投入，截至2024 年底已形成20 亿左右的先进产能空间。展望 未来，公司有望凭借生产经验、模具自制、 ...

国外 1. 小摩：金价明年中至少达4050美元 摩根大通私人银行周四称，对2026年年中的黄金价格展望为4050-4150美元/盎司，预计金价未来将持续 创新高。该行表示，尽管美联储主席鲍威尔的言论未能给出未来降息的明确时间表，但如果美国经济状 况进一步走弱，美联储将会持续降息，这将继续利好黄金。随着黄金近期的上涨，投资者可以考虑通过 结构性产品获得更好的黄金入场点。 2. 高盛警告美股波动，大量催化剂因素料在未来几个月出现 市场正在翘首等待美联储下一步利率动向、即将到来的关键财报季，而美国政府停摆威胁也牵动着投资 者的神经。除此之外，波动率上升风险也在投资者的担忧清单上。高盛集团的衍生品团队表示，自1928 年以来，标普500指数10月的历史波动比其他月份高出约20%。近几十年来，这一幅度甚至更高，因为 第四季度通常会出现企业层面的大量催化剂。"10月波动加剧不仅仅是巧合，"高盛衍生品研究主管John Marshall写道。"对于许多投资者和那些将业绩管理集中到年底呈现的公司来说，这是一个关键时期。随 着投资者关注财报、分析师活动日和管理层对下一年的指引，这种压力会加剧交易量和波动性。"该团 队发现，未来四 ...

Group 1 - The 25th China International Industry Fair (CIIF) has a significant focus on robotics, attracting over 400 participating companies and showcasing nearly 300 global debuts and 200 Chinese debuts of products [2] - The industrial robot market in China is projected to reach sales of 302,000 units in 2024, maintaining its position as the largest industrial robot market globally for 12 consecutive years [3] - The concept of "embodied intelligence" is being highlighted, with companies like Yujian Robotics showcasing a collaborative intelligent system that integrates various types of robots to perform tasks from perception to execution [3][6] Group 2 - Yujian Robotics reported a revenue of 153 million yuan in the first half of the year, marking a year-on-year growth of 27.1%, with a significant increase in the six-axis collaborative robot business, which grew by 46.7% and accounted for 61.2% of total revenue [4][5] - The company has achieved a global shipment of over 90,000 units of robots, surpassing the 100,000 mark by the end of August [5] - The "super factory" model developed by Yujian Robotics is based on a distributed perception and centralized decision-making framework, allowing for flexible production solutions without the need for extensive modifications to existing production lines [5][6] Group 3 - Yujian Robotics has initiated a collaborative action with 300 global manufacturing companies and experts to promote the integration of embodied intelligent robot technology into manufacturing environments, emphasizing data-driven technological evolution [6]

Core Insights - The 2025 Artificial Intelligence Industry Conference highlighted ten key trends in AI, emphasizing the convergence of technology, applications, and ecosystems, leading to a clearer vision of a smart-native world [1]. Group 1: Foundation Super Models - In 2025, foundational models and reasoning models are advancing simultaneously, with a comprehensive capability increase of over 30% from late 2024 to August 2025 [3][4]. - Key features of leading large models include the integration of thinking and non-thinking modes, enhanced understanding and reasoning abilities, and built-in agent capabilities for real-world applications [4][6]. - The emergence of foundational super models simplifies user interaction, enhances workflow precision, and raises new data supply requirements [6]. Group 2: Autonomous Intelligent Agents - Highly encapsulated intelligent agent products are unlocking the potential of large models, showing better performance in complex tasks compared to single models [9][10]. - Current intelligent agents still have significant room for improvement, particularly in long-duration task execution and interconnectivity [12]. Group 3: Embodied Intelligence - Embodied intelligence is transitioning from laboratory settings to real-world applications, with models being deployed in practical scenarios [15][16]. - Challenges remain in data quality, model generalization, and soft-hard coordination for effective task execution [18]. Group 4: World Models - World models are emerging as a core pathway to general artificial intelligence (AGI), focusing on capabilities like data generation, action interpretation, environment interaction, and scene reconstruction [21][22]. - The development of world models faces challenges such as unclear definitions, diverse technical routes, and limited application scope [22]. Group 5: AI Reshaping Software - AI is transforming the software development lifecycle, with significant increases in token usage for programming tasks and the introduction of advanced AI tools [25][28]. - The role of software developers is evolving into more complex roles, leading to the emergence of "super individuals" [28]. Group 6: Open Intelligent Computing Ecosystem - The intelligent computing landscape is shifting towards an open-source model, fostering collaboration and innovation across various sectors [30][32]. - The synergy between software and hardware is improving, with domestic hardware achieving performance parity with leading systems [30]. Group 7: High-Quality Industry Data Sets - The focus of AI data set construction is shifting from general-purpose to high-quality industry-specific data sets, addressing critical quality issues [35][38]. - New data supply chains are needed to support advanced technologies like reinforcement learning and world models [38]. Group 8: Open Source as Standard - Open-source initiatives are reshaping the AI landscape, with significant adoption of domestic open-source models and a growing number of active developers [40][42]. - The business model is evolving towards "open-source free + high-level service charges," promoting cloud services and chip demand [42]. Group 9: Mitigating Model Hallucinations - The issue of hallucinations in large models is becoming a significant barrier to application, with ongoing research into mitigation strategies [44][46]. - Various approaches are being explored to enhance data quality, model training, and user-side testing to reduce hallucination rates [46]. Group 10: AI as an International Public Good - Global AI development is uneven, necessitating international cooperation to promote equitable access to AI technologies [49][51]. - Strategies are being implemented to address challenges in cross-border compliance and data flow, aiming to make AI a truly shared international public good [51].

在2025骁龙峰会·中国期间，宇树科技创始人、CEO兼CTO王兴兴在嘉宾对话环节谈到对人形机器人发展的进阶 路线图与产业化思考。 他认为，通信连接的创新对人形机器人的发展至关重要，而机器人本身的移动性和空间限制，决定了其对芯片算 力和功耗控制具有独特的更加严苛的要求；无论是通用AI模型，还是芯片、通信协议、通信架构等，具身智能的 未来需要产业更开放的合作和共同创新，以推动行业加速发展到下一个阶段。 谈及机器人行业发展目前面临的重要挑战之一，王兴兴认为是在线束方面。 以相对成熟的工业机器人领域为例，根据他粗略了解，目前为止，影响工业机器人故障率和寿命的因素中， 60%~70%与线缆出故障相关。 "大家可能很难想象，有时候，我们团队为了降低一根电线的重量，会花费很多时间和很大精力。"他举例道，某 种意义上来说，要让一台机器人性能更好、可靠性更高，降低线缆数量是尤其重要的一件事。 在王兴兴的期待中，未来人形机器人的形态，在主控大脑和四肢之间，只需用一根线缆进行连接，为了达到这一 目标，仍有 很多值得挖掘的工作。 而让机器人实现更好通用能力背后，发展相应大模型能力也是关键。 至于具体规划，他提到，大约自今年上半年开始 ...

浙商证券研报指出，福莱新材是国内领先的功能性涂布复合材料龙头，正从单一涂布材料商向"基膜 +涂层+终端"一体化解决方案商转型。2024年公司成功开发出高性能柔性传感器材料，实现产品从传统 产业向科技领域跨越，推动人形机器人智能感知技术应用。2025年上半年，公司在柔性传感器领域实现 了多项技术突破与商业化进展，首条柔性传感器中试产线建成投产，具备批量供货能力。同时，举办新 品发布会相继推出第一代和第二代柔性触觉传感器产品，以"真柔性、全曲面、三维力"三大核心特性实 现代际升级，集成材料、结构设计、算法等多模态感知系统。人形机器人进入产业扩张期，电子皮肤是 实现"具身智能"关键一环。从主业看，公司为国内功能性涂布复合材料龙头，市占率领先；从柔性传感 领域，公司已发布两代产品，并具备较为广泛的客户基础和量产能力，产业化进度领先，相较于可比公 司，公司估值水平相对较低。综上，首次覆盖，给予"增持"评级。 ...

中新网四川新闻9月26日电 (杨勇)9月25日，以"投资绵阳·AI向新"为主题的绵阳科技城新区(以下简称"新 区")人工智能专场活动举行。来自人工智能领域的知名企业负责人、高校院所学术专家、投资机构代表 等百余位嘉宾齐聚一堂，共话人工智能前沿趋势，共绘新区AI产业新蓝图。 活动的第一个高潮出现在揭牌仪式环节。绵阳科技城管委会科产一处主要负责同志吉东、四川省残疾人 福利基金会副秘书长夏春燕、绵阳五八机器人科技总经理戴健、成都触乾科技CEO李宗霖共同为"四川 省智能导盲机器人联合研发实验室"揭牌。实验室由省残联、五八机器人、触乾科技三方联合共建，将 聚焦智能导盲技术的研发与应用，为视障人士提供更精准的导航服务。这一举措不仅彰显了科技的温 度，更让现场嘉宾感受到AI技术赋能社会公益的无限可能。四川省残疾人联合会副主席、四川省盲协 主席吴军表示："从电子导盲犬到脑机接口，科技正在重新定义残疾人的生活边界。我们期待更多企业 加入，让AI成为照亮特殊群体的光。" 活动现场。 绵阳科技城 新区供图 活动伊始，新区党工委委员杨静霞化身"新区推介官"，勾勒出新区AI产业的蓬勃生机——先后获批国家 人工智能应用中试基地、国家自动 ...

Core Viewpoint - The article discusses the challenges and opportunities in the field of embodied intelligence and robotics, emphasizing the importance of collaboration among industry players to address technical difficulties and accelerate progress [3][25][48]. Group 1: Industry Challenges - The current state of robotics is characterized by diverse technical routes, leading to a lack of significant progress despite the apparent excitement in the field [4][25]. - Many robotics and chip manufacturers overlook the critical role of chips in robotics, which is essential for enhancing performance and reliability [16][18]. - The industry faces difficulties in deploying large-scale computing power in robots due to space constraints, battery capacity, and heat dissipation issues [20][21]. Group 2: Technological Developments - The goal of companies like Yushu Technology is to develop universal AI for robots that can perform various tasks in unfamiliar environments, akin to a "ChatGPT moment" for robotics [11][12]. - The development stages for achieving advanced robotic capabilities include fixed action demonstrations, real-time action generation, task execution in unfamiliar settings, and achieving high success rates in delicate operations [12]. - The future of embodied intelligence in robotics may involve using mobile phone chips, which could provide significant potential for innovation [24]. Group 3: Collaboration and Open Source - The article highlights the importance of open-sourcing models to foster collaboration and accelerate advancements in the field, similar to OpenAI's approach with earlier GPT models [28][29]. - Companies are encouraged to maintain an open attitude towards various models and collaborate with third parties to enhance development [30][31]. Group 4: AI and Agent Systems - The article discusses the role of agent systems in AI, emphasizing the need for end-cloud collaboration to improve user experience and privacy [35][36]. - The demand for end-side models is increasing, as they are crucial for understanding user needs and facilitating communication with cloud models [39][40]. - The industry lacks a unified standard for AI applications across different devices, leading to high development costs and fragmentation [48][50]. Group 5: Future Directions - The future of AI in robotics and other sectors will likely involve creating a cross-terminal operating system that integrates various services and enhances user experience [50][51]. - Collaboration among industry players is essential for building the necessary infrastructure and supporting innovation in smart devices [51].

第四届全球数字贸易博览会（简称"数贸会"）9月25日至29日在杭州举行。在期间举办的"数贸创投日"上，浙江金控投资管理有限公司董事长郑钧表示， 2025年年内将增设浙江省科创母基金四期、浙江省未来产业科创基金等，打造形成创投基金矩阵。 记者了解到，自2023年9月浙江省科创母基金一期开启投资运作以来，截至当前已形成共计三期、认缴总规模达110亿元的科创母基金体系，落地42只子基 金，累计投决项目120余个。 深化运营"创融桥""投贷联动"等平台 郑钧表示，截至2025年8月末，浙江省级政府投资基金累计认缴600亿元、实缴427亿元，设立子基金123只、总规模达4254亿元（含国家级基金）。 母子基金共投资浙江省内项目1684个，其中101家企业成功上市、61家获国家和省级科学技术奖。 作为"4+1"专项基金群的重要组成部分，浙江省科创母基金支持投早、投小、投长期、投硬科技。秉持"一地注册，投向全省"的组建原则，实行市场化运作。 2024年11月，总规模30.02亿元的浙江省科创母基金三期正式签约落地，由拱墅区产投集团与浙江省金融控股有限公司、杭州市国有资本投资运营有限公司 等合伙人联合发起设立，基金管理人为浙 ...