0:00 从研发到应用、从技术到产业，北京人工智能强就强在全链条的创新能力，这也是它坐稳"人工智能第 一城"的底气，期待北京为全球AI创新继续书写中国答卷！ 统 筹：李杰、乌梦达 人工智能无疑是未来科技的核心竞争力。那你是否知道中国人工智能创新"顶流"城市是哪个？毫无疑问 是北京！ 两组数据格外亮眼：148名全球人工智能TOP2000顶尖学者，这里占全国四成；人工智能核心产业规 模，这里有近3500亿元，相关企业更是突破2400家，两项数据均占全国一半。妥妥的"人工智能第一 城"！ 为何是北京？在AI芯片领域，北京已经形成了自主可控的"芯片矩阵"。 昆仑芯、寒武纪、摩尔线程、 清微智能……一系列国产明星产品性能领先；在前沿领域，更有全球首款全光学人工智能芯片等成果。 论大模型，北京更是一骑绝尘！豆包、智谱、Kimi、文心等你日常依赖的小伙伴，全是"北京造"，站稳 全球第一梯队。全国备案上线的大模型，北京就占了183款！ 北京还通过百亿规模的市级人工智能产业投资基金，为企业提供硬支持。在全国率先发布"人工智能 +"行动计划，让AI走出实验室，走进生活。 新华社北京分社 新华社技术局 联合出品 47号智媒实验室制 ...

Core Viewpoint - The U.S. government has accused Alibaba of providing technical support to the Chinese military, which poses a threat to U.S. security, according to a leaked White House memorandum. Alibaba has denied these allegations, suggesting they are part of a malicious public relations campaign aimed at undermining recent U.S.-China trade negotiations [1]. Group 1: Allegations and Responses - The White House memorandum cites classified intelligence regarding Alibaba's alleged support for the Chinese military, but lacks specific details on the capabilities or actions involved [1]. - Alibaba has issued a statement refuting the claims, questioning the motives of the anonymous leaker and highlighting that the Financial Times could not verify the leaked information [1]. - Chinese authorities have also rejected the allegations, asserting their commitment to combating all forms of cyberattacks [1]. Group 2: Background Information on AI Developments - On November 13, it was reported that Alibaba secretly launched the "Qwen" project, developing a personal AI assistant app that competes directly with ChatGPT [1]. - The Qwen model has gained widespread recognition among global tech companies and academia, with Stanford professor Fei-Fei Li's team reportedly training a model comparable to OpenAI's for under $50 [2]. - Airbnb's CEO has stated that the company heavily relies on the Qwen model, claiming it is "better and cheaper" than OpenAI's offerings [2]. Group 3: Market Position and Competitive Landscape - At the 2025 GTC conference, NVIDIA's CEO Jensen Huang announced that Alibaba's Qwen series has captured a significant share of the global open-source model market, with its leading advantage continuing to expand [4]. - Huang previously noted in May that Qwen and DeepSeek are among the best open-source AI models available, indicating a growing competitive landscape that has led to a phenomenon referred to as "Qwen panic" in Silicon Valley [5]. - The notion of "Qwen panic" reflects the competitive pressure felt by U.S. companies in the face of advancements from Chinese AI models, although it is framed more in terms of technological and cost competition rather than national security concerns [5]. Group 4: Potential for Cooperation - There is a perspective that the U.S. and China could collaborate in the AI sector, suggesting that the invocation of national security concerns is unnecessary and detrimental to mutual trust and global technological progress [6].

Group 1 - The 2025 Artificial Intelligence + Conference held a hiring ceremony for the Artificial Intelligence Hundred Talents Association, which includes renowned experts and scholars in the AI field [1][3] - The association aims to create a systematic AI+ full lifecycle ecological service system, promoting a collaborative innovation system that integrates government, industry, academia, research, finance, and application [3] - The "AI China Plan," authored by the association's team, was released at the conference, focusing on summarizing "China's practices" and contributing "China's wisdom" with future action proposals [3] Group 2 - Beijing is recognized as a national hub for the AI industry, having developed a number of internationally competitive AI companies [4] - The Beijing Municipal Science and Technology Commission and the Zhongguancun Management Committee are establishing multiple overseas service ports and stations for AI companies, targeting regions such as Hong Kong, Singapore, the UAE, and the EU [4]

2025年，AI 的演进正从"能力突破"迈向"系统构建"阶段。 自主智能体开始尝试真实任务闭环，世界模型在复杂环境中持续验证，推理架构与训练范式不断重构——技术的焦点，已不再只是"能不能做"，而是"如何做得更 可靠、更可解释、更可持续"。 在这一背景下，NeurIPS 作为全球人工智能与机器学习领域最具影响力的学术会议之一，再次成为观察前沿风向的关键窗口。今年大会共收到 21575 份有效投 稿，最终接收 5290 篇，整体录用率为 24.52%。大会将于 2025 年 12 月 2 日到 7 日在美国圣地亚哥举办，并且首次设置了第二个官方分会场墨西哥城，标志着全 球 AI 学术生态的多元化布局正在加速成型。 为了服务中国 AI 社区，近年来机器之心持续举办了多场 NeurIPS、CVPR、ACL、ICLR 论文分享会，受到了海内外 AI 社区的极大关注，众多高校、企业都积极 参与。 作为一场为国内 AI 人才打造的盛会，本次「NeurIPS 2025 论文分享会」设置了 Keynote、论文分享、圆桌对话、Poster 交流及企业展位交流等丰富环节。今天， 论文分享会的全日程、Keynote 分享嘉宾及演讲 ...

证券研究报告·策略报告·策略深度报告 策略深度报告 20251116 2026 年，美股 AI 泡沫会破裂吗？ 2025 年 11 月 16 日 [Table_Tag] [观Table_Summary] 点 ◼ 我们认为 2026 年刺破美股 AI 泡沫的可能不是产业周期和股票估值，更可能是宏观和政治周 期。 ◼ 一、泡沫只看估值吗？ 市场以估值、Capex、自由现金流等基本面视角判断、解读美股 AI 泡沫。华尔街对 AI 是否 有泡沫这个问题本身就有分歧。参照 2019 年 Goldfarb 和 Kirsch 出版的 《泡沫与崩溃 : 技术创 新的繁荣与萧条》 ，58 个历史泡沫涵盖 4 个特征:不确定性，对应当前 AI 商业化落地方向和节 奏存在不确定性；纯粹的游戏，对标 Mag7 估值快速上涨，部分科技股股价显著脱离内在价 值；新手投资者，当前全球散户和机构都集中参与科技股投资，甚至出现"只买一只股票就买 英伟达"的盛况；通过叙事协调或者统一信仰，好比现在 AI 叙事已脱离科技本身，指向终极 信仰—"国家信仰"。从这四个特征看，美股 AI 确实存在泡沫。 ◼ 二、美股 AI 泡沫有多大？ 众说纷纭。相比 ...

Core Insights - The U.S. government has accused Alibaba of providing technical support to the Chinese military for actions targeting the U.S., as reported by the Financial Times, although specific capabilities or actions were not detailed [1] - Following the report, Alibaba's stock experienced a significant decline, dropping 3.78% after initially rising 1.5% during the trading session [1] - Alibaba has strongly denied the allegations, questioning the motives of the anonymous leaker and suggesting that the report is part of a malicious public relations campaign aimed at undermining recent trade agreements between the U.S. and China [1] - The Chinese Embassy in Washington also refuted the claims, stating that China opposes all forms of cyberattacks [1] Alibaba's AI Developments - Alibaba has secretly launched the "Qwen" project, aiming to develop a personal AI assistant app named "Qwen," which directly competes with ChatGPT [2] - The Qwen model has achieved significant success, occupying seven of the top ten positions on the HuggingFace global model leaderboard [4] - Since its launch, the Qwen model has been downloaded over 600 million times, with more than 170,000 derivative models created, surpassing the Meta Llama series and establishing itself as the leading open-source model globally [5] Market Dynamics and Sentiment - There is a growing sentiment in Silicon Valley referred to as "Qwen Panic," indicating concerns over the competitive edge of Alibaba's open-source models compared to the closed-source models prevalent in the U.S. [4] - Industry leaders, including NVIDIA's Jensen Huang and former Google CEO Eric Schmidt, have acknowledged the significant market share held by Alibaba's Qwen model and the potential shift towards Chinese AI technologies due to cost and technical feasibility [7] - The U.S. AI sector is facing challenges related to debt sustainability, with over $200 billion in bonds issued by AI companies this year, raising concerns about the financial viability of the current AI development trajectory [9]

【导读】华为将发布AI领域突破性技术，有望解决算力资源利用效率难题 中国基金报记者 邱德坤 记者11月16日获悉，华为将在11月21日发布AI领域的突破性技术，有望解决算力资源利用效率 的 难题。 具体来看，华为即将发布AI领域的突破性技术，可将GPU（图形处理器）、NPU（神经网络处理器）等算力资源的利用率，从行业平均的 30%至40%提升至70%，显著释放算力硬件潜能。 版权声明 据透露，华为即将发布AI领域的突破性技术，是通过软件创新实现英伟达、昇腾及其他三方算力的统一资源管理与利用，屏蔽算力硬件差 异，为AI训练推理提供更高效的资源支撑。 《中国基金报》对本平台所刊载的原创内容享有著作权，未经授权禁止转载，否则将追究法律责任。 授权转载合作联系人：于先生（电话：0755-82468670） 同时，华为即将发布AI领域的突破性技术， 与 以色列AI初创公司Run:ai的核心技术 路线有共同性， 后者在2024年底被英伟达以7亿美元 资金收购。 公开资料显示，Run:ai自2018年成立以来，一直专注于GPU调度技术，并致力于打造一个能将AI模型拆分并行运行的平台，无论硬件位于 本地、云端还是边缘。 据悉 ...

具体来看，华为即将发布AI领域的突破性技术，可将GPU（图形处理器）、NPU（神经网络处理器） 等算力资源的利用率，从行业平均的30%至40%提升至70%，显著释放算力硬件潜能。 据透露，华为即将发布AI领域的突破性技术，是通过软件创新实现英伟达、昇腾及其他三方算力的统 一资源管理与利用，屏蔽算力硬件差异，为AI训练推理提供更高效的资源支撑。 记者11月16日获悉，华为将在11月21日发布AI领域的突破性技术，有望解决算力资源利用效率的难题。 同时，华为即将发布AI领域的突破性技术，与以色列AI初创公司Run:ai的核心技术路线有共同性，后者 在2024年底被英伟达以7亿美元资金收购。 Run:ai的核心产品是基于kubernetes（开源容器编排平台）构建的软件平台，用于调度GPU的计算资源， 通过动态调度、池化、分片等技术，实现GPU资源利用率的优化，让深度学习训练与推理任务在企业级 环境中高效运行。 （文章来源：中国基金报） 公开资料显示，Run:ai自2018年成立以来，一直专注于GPU调度技术，并致力于打造一个能将AI模型拆 分并行运行的平台，无论硬件位于本地、云端还是边缘。 据悉，管理生成式AI、 ...

具体来看，华为即将发布AI领域的突破性技术，可将GPU（图形处理器）、NPU（神经网络处理器） 等算力资源的利用率，从行业平均的30%至40%提升至70%，显著释放算力硬件潜能。 【导读】华为将发布AI领域突破性技术，有望解决算力资源利用效率难题 记者11月16日获悉，华为将在11月21日发布AI领域的突破性技术，有望解决算力资源利用效率的难题。 据透露，华为即将发布AI领域的突破性技术，是通过软件创新实现英伟达、昇腾及其他三方算力的统 一资源管理与利用，屏蔽算力硬件差异，为AI训练推理提供更高效的资源支撑。 同时，华为即将发布AI领域的突破性技术，与以色列AI初创公司Run:ai的核心技术路线有共同性，后者 在2024年底被英伟达以7亿美元资金收购。 据悉，管理生成式AI、推荐系统、搜索引擎等工作负载，需要复杂的调度来优化系统和底层硬件的性 能。 Run:ai的核心产品是基于kubernetes（开源容器编排平台）构建的软件平台，用于调度GPU的计算资源， 通过动态调度、池化、分片等技术，实现GPU资源利用率的优化，让深度学习训练与推理任务在企业级 环境中高效运行。 公开资料显示，Run:ai自2018年成 ...

Group 1 - The core viewpoint of the articles highlights the advancements in AI-driven film creation, showcasing the evolution from basic tools to a collaborative platform for content production, as demonstrated by the recent AI short film premiere by Jimo AI under ByteDance [1] - The AI short films presented exhibit diverse themes and high-quality storytelling, achieving a 79% similarity in editing with works by human directors, indicating a significant leap in emotional narrative and aesthetic expression [1] - In the A-share market, technology stocks have experienced stagnation, with a shift in market sentiment from aggressive buying to a more cautious approach, despite ongoing narratives around technology [2] Group 2 - In the U.S. stock market, major cloud companies within the Mag7 group continue to show positive capital expenditure trends related to AI, although there is growing skepticism regarding the sustainability of AI investments due to a lack of stable profit generation [2] - Concerns have arisen regarding the reliance of tech giants on debt to finance AI initiatives, with over 90% of AI-related capital expenditures being funded through operational cash flow, raising investor awareness of potential risks [2] - The investment landscape is characterized by two main themes: the stability of upstream infrastructure companies and the significant potential for domestic substitution in the semiconductor sector, driven by policy support and market demand [3] Group 3 - The semiconductor companies that are breaking through in the wave of domestic substitution are seen as the core force in the ongoing technological transformation, with investments in AI applications providing opportunities for participation in the upgrading of computing power [4] - The focus on domestic substitution in the semiconductor field is emphasized, with local companies achieving revenue breakthroughs in key equipment areas, despite the low domestic production rates for advanced process equipment [3]