三大指数集体高，两市个股涨多跌少，题材板块方面工程咨询服务、航海装备、地面兵装等板块表现较强，林业、能源金属、冶钢原料等板块表现较差。军 工板块延续上周强势，中船防务、航天动力等多股涨停，航天环宇、久之洋等多股涨超10%，在智能化战争向纵深演进的趋势下，人工智能（AI）正逐步渗 透赋能并重构军事作战体系。从架构角度出发，智能战场的AI 建设可划分为基础层、传输层与感知应用层三个技术维度，各层相辅相成，构成"数据驱动— 智能协同—精准打击"的闭环体系。 固态电池概念活跃，广汽集团一字涨停，孚能科技、利元亨等多股跟涨，国内已建成首条大容量全固态电池产线，目前正在小批量测试生产。该产线由广汽 集团建成，并在行业内率先具备了60安时以上车规级全固态电池的批量量产条件。算力硬件概念再度活跃，中富电路涨超10%，续创历史新高，光库科技、 腾景科技等多股涨幅靠前，谷歌AI基础设施负责人Amin Vahdat日前在全体大会中表示，公司必须每6个月将AI算力，并在未来4到5年内额外实现1000倍的增 长，以应对持续上升的AI服务需求。 A股市场仍然跟随外围市场决定开盘的涨跌幅度，而美股的重心变成了科技股的涨跌与否，从而决定了美 ...

11月22日，由《21世纪经济报道》主办的"21世纪金融竞争力案例（2025年度）"评选结果揭晓，小雨点 凭借特色评分产品，从众多案例中脱颖而出，荣获产品类"年度领航案例奖"。 此次荣获产品类"年度领 航案例奖"，是对小雨点深耕金融科技赛道，不断提升科技风控与数据智能应用水平的高度认可。 本次21世纪金融竞争力优秀案例评选，旨在将先进实践经验转化为业务动能，推动行业健康发展。评选 通过专家推荐、机构申报等形式公开进行，经由客观指标和主观指标共同研究确定。 获奖的小雨点特色评分产品涵盖个人与企业信用及反欺诈评分，以灵活、高效、合规为核心特点，广泛 应用于营销画像、信用评估、信息核验与反欺诈等多类金融场景，还在数据融合与模型建设上具有显著 优势。例如在某银行的消费贷款联合建模项目中，该行因线上消费贷业务所使用的第三方数据效果未达 预期，希望拓展数据维度以提升风险识别精准度。小雨点通过深入调研其业务流程与数据使用情况，筛 选合适数据源并开展联合建模，为额度10万元以内、期限1年期的自营客群消费贷产品构建定制化风控 模型。项目通过将授信模型内部规则与定制模型构建交叉矩阵，有效提升了高风险客户的判断精度。项 目成果显示 ...

这一市场表现，被认为是阿里长期积累的技术势能与清晰产品定位共同作用的结果。 其次，在产品层面，千问App精准定位为"会聊天能办事的个人AI助手"，强调了其实用价值。在当前AI 应用层出不穷的背景下，简洁、专业且聚焦于解决实际问题的产品力，成为吸引用户下载试用的关键拉 力。 我国人工智能产业正加速从技术研发迈向市场应用。近日，阿里巴巴旗下"千问App"在公测第一周的下 载量即突破1000万次，成为AI应用领域备受关注的市场事件，也标志着国内大型科技公司在C端AI应用 的布局进入新阶段。 根据阿里方面的规划，千问App的未来发展将聚焦于"Agentic AI"（智能体AI）能力的构建。这意味 着，该应用的目标不仅是提供信息和生成内容，更是要成为一个能够理解复杂指令、跨场景协同并直接 完成任务的智能助理。 11月24日，阿里对外宣布，其自主研发的AI助手"千问App"自11月17日开启公开测试后，首周下载量已 超过1000万次。该应用上线后迅速进入苹果App Store免费总榜前三，显示出强劲的市场热度。 首先，千问App的底层技术支撑是阿里通义千问（Qwen）大模型。据了解，Qwen系列模型自2023年起 便通过 ...

Core Insights - The article discusses the transformative potential of large language models (LLMs) in enhancing e-commerce customer service, particularly through AI-driven chatbots that can understand complex user queries and provide personalized responses [1][2][9]. Group 1: Evolution of AI Customer Service - The initial attempts to improve e-commerce customer service through AI began in the early 2000s, using rule-based engines and later incorporating machine learning and natural language processing, but results were often unsatisfactory [2][4]. - Traditional chatbots struggled with understanding complex user intents and providing a satisfactory user experience, often leading to frustration [2][4]. Group 2: Advantages of Large Language Models - LLMs significantly enhance the ability of AI customer service to comprehend complex and ambiguous user requests, maintain conversation history, and recognize user emotions [2][3]. - The generative capabilities of LLMs allow for more natural and fluid conversations, enabling deeper engagement through multi-turn dialogues [2][3]. - LLMs can offer highly personalized service by analyzing user data such as browsing history and past interactions to generate tailored recommendations [2][3]. Group 3: Economic Impact - The potential economic benefits of replacing human customer service agents with AI are substantial, with estimates suggesting that the total labor cost for customer service in e-commerce could reach hundreds of billions [3][9]. - The cost of AI-driven customer service interactions is significantly lower, with estimates around 0.2 yuan per interaction, which is about 15% of the cost of human agents [3][9]. Group 4: Current Limitations and Challenges - Despite the potential, the adoption of LLMs in e-commerce customer service is still limited, with less than 30% of sampled merchants utilizing these technologies [4][9]. - Building and maintaining a comprehensive knowledge base is crucial for LLMs to function effectively, which poses challenges, especially for small and medium-sized businesses [4][5]. - The integration of LLMs with existing systems (e.g., order management, logistics) is complex and requires significant development efforts from e-commerce platforms [4][5]. Group 5: Future Prospects - As LLMs evolve, there is potential for them to take on more complex tasks beyond simple dialogue, including proactive engagement and decision-making in customer service [6][7]. - The shift from reactive to proactive customer service could significantly enhance user experience and operational efficiency in e-commerce [7][8]. - The role of customer service is expected to transform from a cost center to a core touchpoint for user engagement and transaction opportunities [8][9].

Core Viewpoint - The launch of the "QiYuan Inspection Model" marks a significant advancement in China's clinical inspection field, showcasing the integration of artificial intelligence in medical diagnostics and addressing the core challenges of clinical inspection automation and intelligent decision-making [2][4]. Industry Overview - Clinical inspection is a crucial support for modern medical systems, influencing over 70% of clinical decision-making. Traditional inspection processes face challenges such as large information volumes, complex workflows, and heavy manual review burdens. The explosive growth of medical data has led to high expectations for AI to assist in automatic analysis and intelligent decision-making [4]. - The limitations of general-purpose large language models (LLMs) in the medical field stem from their broad but non-specialized nature, which often fails to provide precise conclusions in complex experimental data and professional judgment tasks. The focus has shifted to developing vertical models that can truly understand inspection logic and possess expert thinking [4]. - In August 2025, the State Council issued opinions to promote the deep integration of AI with key areas such as healthcare, encouraging the development of specialized AI models in the medical field [4]. Company and Technology Background - Mindray Medical, a leading global provider of medical devices and solutions, has been intensifying its AI research and development efforts, forming a technology matrix centered on "AI + medical imaging," "AI + monitoring," and "AI + inspection" [6]. - Since 2023, Mindray has been advancing the "QiYuan" medical model system, with the core achievement being the QiYuan Critical Care Model, which focuses on clinical decision support in ICU settings and has been implemented in several large hospitals [8]. Product Introduction - The "QiYuan Inspection Model" distinguishes itself from general AI through its specialization and interpretability, following a four-stage training system: professional learning, clinical training, thinking simulation, and continuous evolution [9][10]. - The model has been applied in hospitals, significantly reducing the time required for complex report reviews from 20-30 minutes to just 1 minute [11]. - It features automated risk identification and suggestions for retesting when anomalies are detected, creating an automated feedback loop from anomaly detection to correction [12]. - The model integrates multi-source data for comprehensive analysis, enhancing the basis for clinical judgment [13]. - It also supports clinical communication by automatically generating suggestions for follow-up tests and potential interference factors, improving collaboration between inspection and clinical departments [14]. Open Ecosystem and Future Expansion - Mindray plans to open the "QiYuan Inspection Model" to more medical institutions for collaborative optimization and adaptation to specific diseases, establishing a sustainable evolving medical intelligence platform [15]. Conclusion - The release of the "QiYuan Inspection Model" represents a milestone in China's inspection medicine, signifying a shift from passive reporting to active decision-making participation [16]. - The model is expected to significantly enhance inspection efficiency and report accuracy, allowing doctors to focus on high-value clinical judgments and research innovation [17]. - Mindray's "QiYuan" model system is building the foundation for China's medical AI industry, creating a closed loop of data, models, and applications that will support the standardization and internationalization of intelligent healthcare in the future [17].

为给人工智能（AI）的巨大投入提供资金，科技公司正以前所未有的规模涌入债券市场。 据《华尔街日报》11月23日报道，自今年9月初以来，包括亚马逊、Alphabet、Meta和甲骨文在内的所谓"AI超大规模企业"（AI hyperscalers）已发 行近900亿美元的投资级债券。 根据Dealogic的数据，这一规模超过了这些公司此前40个月的发行总额。与此同时，评级较低的AI数据中心开发商也发行了超过70亿美元的投机 级债券。 目前，其评级仅比投机级高出两档，其债券收益率已高于几乎所有投资级科技同行。研究公司CreditSights的高级分析师Jordan Chalfin指出，甲骨 文未来三年可能还需发行约650亿美元的债券，维持投资级评级对其至关重要，因为投机级市场的融资规模远不足以支持其需求。 投机级债券的警示信号，风险正在外溢至股市 在风险更高的投机级市场，警示信号更为明确。作为少数拥有次投资级债券的主要AI云服务提供商，CoreWeave的处境颇具代表性。 据报道，该公司7月份发行的2031年到期债券，近期交易价格已跌至面值的92美分，对应的收益率高达约11%，与评级最低的CCC级债券平均水平 相当 ...

清华大学常务副校长曾嵘致辞指出，本届京台人才发展论坛首次在高校举办，生动诠释教育、科技、人 才三者深度融合的时代趋势，希望能以本次论坛为契机，深化两地在人工智能等高科技领域的人才合 作，让更多两地青年在交流中增进了解、在合作中实现共赢，携手为推动科技进步，实现民族复兴贡献 智慧和力量。 北京市人才工作局副局长，市科委、中关村管委会副主任贺泳江致辞表示，未来将不断完善在京台湾人 才的服务保障措施，创新推动两岸青年人才更多互动合作，通过科技、人才、产业等领域资源共享、优 势互补，共同绘就京台两地融合发展美好画卷。 中新网北京11月24日电 第28届京台科技论坛——京台人才发展论坛23日在北京清华大学举办。本届论 坛以"智联两岸，青创未来"为主题，汇聚京台两地专家学者、企业高管、社会团体负责人和青年创业精 英等150余人。 11月23日，第28届京台科技论坛——京台人才发展论坛在北京清华大学举办。 本届论坛由北京市人才工作局、清华大学两岸发展研究院共同主办，中关村上市公司协会、中华海峡两 岸民间团体交流促进协会承办。作为京台科技论坛重要组成部分，京台人才发展论坛已成功举办十届。 (完) 主旨演讲环节，中国科学院院士 ...

2025年11月11日，备受全球金融界瞩目的Wiki Finance EXPO Dubai 2025在迪拜千禧广场市中心酒店盛 大开幕。本次博览会由WikiGlobal与WikiEXPO联合主办，汇聚了来自全球的3000余名行业参与者、超 过70家展商及50多位顶尖行业专家，共同探讨金融科技、外汇、加密货币、Web3.0、人工智能及金融 监管科技等前沿议题。在这场高规格的国际金融盛事中，金牌分析师与资深培训专家王锡环女士作为特 邀嘉宾出席，其深厚的行业积淀与独到的投资见解成为会场关注的焦点之一。 履历跨越东西半球，实战经验淬炼真知 技术分析与双轨策略并重，倡导稳健增值理念 在本次博览会关于金融科技与交易策略的讨论中，王锡环女士的核心方法论得到了充分展现。她是一位 坚定的技术分析实战派，善于将深厚的理论学识与丰富的市场经验相融合，构建了一套专注于外汇、股 票及黄金市场的技术交易体系。 其投资理念的一大亮点在于"双轨交易策略"的娴熟运用。她同时精通短线高频交易与中长期趋势交易， 这种灵活性使其能够游刃有余地应对不同级别的市场波动，捕捉多元化的盈利机会。无论是瞬息万变的 市场短线机会，还是宏观趋势下的中长期布局，她 ...

| 股东变更 | | --- | | 退出:杭州城市大脑有限公司 | | 新增:益海嘉里金龙鱼食品集团股份有限公司 | | 主要成员变更 | | 退出:李明、谢骏、陈瑾、陈鹏程、颜渊 .. | | | | 杭州城市大脑应用科技有限公司 | | 道一下 0. 8 器应用 ~ 企业中心 | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 基本信息 50 | | 法律诉讼 | 经营风险 | 经营信息 59 企业发展 33 | 知识产权 5 | | | | 法定代表人 | 存续 成立日期 叶佩佩 | | 登记状态 | | | 2020-08-28 | | | | 1000万元 实缴资本 | | 注册资本 | | | 1000万元 1 | | | 组织机构代码 | 330196000151205 纳税人识别号 | MA2J12XX-9 | 工商注册号 | 91330106MA2J12XX9J | | | | | 企业类型 | 2020-08-28 至 999-09-09 纳税人资质 图) | 有限责任公司(外商投资、非独 | 营业期限 | | | 一般 ...

院士领衔、行业翘楚齐聚 共启视网膜医学新篇章 11月22日上午8时许，在位于湖南长沙的爱尔眼科大厦国际会议中心内，现场座无虚席。 一场荟聚全球前沿视野，聚焦视网膜领域核心议题的学术盛宴——国际视网膜高峰论坛百人会 （IRS100）·2025正式拉开帷幕。思想的火花在碰撞中正书写着视网膜医学的崭新篇章。 来源：环球网 11月21日至23日，由爱尔眼科医院集团、湖南爱眼公益基金会联合主办，爱尔眼科长沙医学中心协办的 国际视网膜高峰论坛百人会（IRS100）·2025（以下简称IRS100·2025）在湖南长沙隆重举行。 本次大会以"聚焦临床・融合创新・共筑光明"为主题，设立了视网膜创新转化与投资论坛、主旨演讲 和"眼底外科""眼底内科""基础研究""未来眼科"四大平行论坛，内容涵盖基因治疗、人工智能、手术机 器人、干细胞研究等诸多前沿方向，展现了视网膜医学的最新进展与未来趋势。 国际视网膜高峰论坛（IRS）自创办以来，已走过22年不平凡历程，现已逐步发展成为全球视网膜领域 交流成果、凝聚共识的重要平台。 今年，IRS100·2025更是展现其"长年积淀+创新升级"的高规格、高水平——中国科学院院士、发展中国 家科 ...