Core Viewpoint - DeepSeek released a new paper titled "Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models," which introduces conditional memory to enhance model performance in various tasks under equal parameters and computational conditions [1]. Group 1 - The paper was co-authored by Peking University and DeepSeek, with Liang Wenfeng listed as a co-author [1]. - Conditional memory is proposed to significantly improve model performance in knowledge retrieval, reasoning, coding, and mathematical tasks [1]. - DeepSeek has open-sourced a related memory module called Engram [1].

Core Insights - Major AI companies are aggressively acquiring startups to fill capability gaps and enhance their competitive edge in the rapidly evolving AI landscape [1][4][5] Group 1: Acquisitions and Strategic Moves - Nvidia acquired AI chip startup Groq for $20 billion, Google spent $4.75 billion on clean energy firm Intersect Power, and Meta invested $4.5 billion in AI agent Manus to secure energy sovereignty and enhance application capabilities [1][4] - The trend of high-valuation acquisitions reflects the urgency of established companies ("old players") to differentiate their technology and the need for startups ("young players") to monetize their first-mover advantages quickly [4][5] - Meta's acquisition of Manus is driven by the belief that AI agents are the future, allowing Meta to quickly expand user scenarios and explore monetization opportunities [6][10] Group 2: Market Dynamics and Challenges - OpenAI, despite its significant resources, faces challenges in monetization, with only 5% of its active users being paid subscribers [4] - The dominance of Nvidia in the GPU market, with a projected 94% market share by Q2 2025, creates significant barriers for smaller AI startups, which struggle with high procurement costs and potential supply shortages [7][12] - The pressure on startups to survive has shifted their focus from independent growth to strategic exits, as seen in the case of companies like Zhiyun, which opted for an IPO to avoid falling behind [8][15] Group 3: Future Outlook and Innovation - The ongoing acquisition spree by major players aims to build a comprehensive ecosystem that integrates models, data, applications, and hardware, thereby enhancing their competitive positioning against rivals like Google [12][18] - The ability to integrate external technologies into existing platforms with vast user bases is a critical advantage that startups cannot easily replicate [17][18] - Despite the challenges, opportunities remain for innovative startups, as experienced talent from major companies is entering the market, potentially leading to new AI developments and business models [19][20]

1月13日凌晨，谷歌公司在官网发布了一则与苹果公司的联合声明。两家科技巨头确认正式达成一项长 期合作协议，苹果的语音助手Siri将基于谷歌的Gemini模型进行升级。 声明写道，"经过审慎评估，苹果认定谷歌的AI技术能为'苹果基础模型'提供最强有力的基础，并对即 将在该技术支持下为苹果用户带来的创新体验充满期待。" 双方在声明中表示，苹果将继续在消费者设备端或通过"私有云计算（Private Cloud Compute）"运行其 AI服务，以维持苹果隐私标准。升级后的Siri，预计将于今年推出。 早在去年8月，彭博社就曾爆料称，苹果正与谷歌洽谈合作，计划斥资每年10亿美元购买谷歌的AI技 术，用于升级Siri。去年年底，彭博社曾发布消息称，两家公司已就该笔交易进行收尾工作。在消息公 布后，谷歌母公司Alphabet的股价迎来上涨，总市值一度突破四万亿美元，随后涨幅有所回落。 一直以来，苹果以"软硬一体"的垂直整合能力著称，从芯片（Apple Silicon）到操作系统（iOS）力求自 研，旨在打造一套封闭的生态闭环。然而自2022年OpenAI的ChatGPT横空出世以来，在本轮席卷全世界 的AI热潮中，这家 ...

OpenAI在社交媒体平台X上发布动态称："将这一创新工具与ChatGPT Health深度融合，为理解和管理 个人健康开辟了全新路径。" 越来越多的科技公司正瞄准利润丰厚的医疗保健市场，押注人工智能的进步能够帮助解析用户健康数据 中的模式，以提供个性化的医疗建议。但这些举措也引发了人们对AI服务处理更敏感的个人数据、并 为更高风险的健康问题提供建议所带来的隐私和安全风险的担忧。 继推出ChatGPT Health后，OpenAI今日正式宣布完成对医疗保健初创公司Torch的收购。这家由四名员 工于去年创立的企业，专注开发可将实验室检测结果、用药信息及就诊录音等多维度医疗数据统一整合 的解决方案。据公开报道，本次收购交易金额约1亿美元，且Torch全体成员已确认将加入OpenAI团 队。 在微软(MSFT.US)与软银(SFTBY.US)的双重战略支持下，OpenAI于上周正式推出医疗健康领域新产品 ChatGPT Health。据公司官方声明，该产品核心目标在于赋能用户——通过智能化健康管理工具，让用 户对自身健康状态实现"更全面的知情度、更充分的准备度及更坚定的信心"。 Torch表示："我们创办Torc ...

13日早盘，AI赛道呈现放量分歧，创业板人工智能新高后震荡回调。以GEO为代表的AI应用依然活跃，易点天下早盘一度20CM涨停，中文在线、万兴科技 大涨超10%；以光模块+IDC为核心的算力赛道则继续调整，金信诺领跌超9%，长芯博创、锐捷网络、天孚通信等下跌5%。 热门ETF方面，双线布局"AI应用+算力"的创业板人工智能ETF（159363）场内高开低走，上探新高后跌超1.5%，实时成交额超8亿元，资金继续大幅净申 购1.3亿份。 | 分时 多日 1分 5分 15分 30分 ▼ 综合屏 F9 前复权 超级叠加 画线 工具 (2 2 » | | | | | | | --- | --- | --- | --- | --- | --- | | 159363.SZ[创业板人工智能ETF华宝] 2026/01/13 收 1.108 幅 -1.69%(-0.019) 开 1.156 高 1.157 | WP 低 | | 19 08 -0.019 -1.69% | | | | MA5 1.065 MA10 1.0331 MA20 0.9997 MA60 0.9187 MA120 0.8381 MA250 0.6591 ( ...

Core Viewpoint - The AI healthcare sector is experiencing significant growth, driven by partnerships and investments aimed at accelerating AI applications in pharmaceuticals and healthcare management [1] Group 1: Stock Performance - AI healthcare concept stocks have mostly risen, with notable increases: Ark Health (06086) up 30.8%, Medical Pulse (02192) up 5.1%, Crystal Technology (02228) up 4.63%, Alibaba Health (00241) up 3.14%, and iFlytek Medical Technology (02506) up 2.79% [1] Group 2: Major Developments - NVIDIA and Eli Lilly announced a $1 billion investment to establish a joint research lab in the San Francisco Bay Area over the next five years, aimed at accelerating AI applications in the pharmaceutical industry [1] - The lab will begin operations in early 2023, with engineers from NVIDIA collaborating with experts in biology, science, and medicine to generate large-scale data and build AI models for new drug development [1] Group 3: Industry Insights - According to Founder Securities, AI-driven healthcare is forming a new growth pole, with a positive outlook on the revolutionary potential of AI in pharmaceuticals, basic research, diagnostics, and health management [1] - Huafu Securities noted that the AI healthcare industry has entered a critical phase of commercialization, supported by national strategies and market demand, with a closed-loop demand for AI applications sustaining the sustainable development of the AI industry [1]

新华财经北京1月13日电四大证券报内容精华摘要如下： 中国证券报 ·四部门：加强政府投资基金布局规划和投向指导投资鼓励类产业要防止盲目跟风、一哄而上 国家发展改革委1月12日消息，为加强对政府投资基金布局规划和投向指导，更加突出政府引导和政策 性定位，国家发展改革委、财政部、科技部、工业和信息化部制定了《关于加强政府投资基金布局规划 和投向指导的工作办法（试行）》。国家发展改革委同步制定了《政府投资基金投向评价管理办法（试 行）》，引导政府投资基金落实国家产业调控要求，支持现代化产业体系建设。这是首次在国家层面对 政府投资基金的布局和投向作出系统规范。中国宏观经济研究院经济所研究员刘国艳表示，两项办法协 同实施，有助于引导金融资源更精准地流向实体经济急需的领域，尤其是周期长、风险高、社会资本初 期投入不足的环节，从而有效发挥政府投资基金"引导、补缺、撬动"的功能。 ·中欧电动汽车案实现"软着陆" 欧方将发布价格承诺指导文件 商务部12日发布关于中欧电动汽车案磋商进展的通报。根据通报，欧方将发布《关于提交价格承诺申请 的指导文件》。业内人士指出，这意味着经过多轮磋商，案件实现"软着陆"。通报指出，为落实中欧领 ...

Core Viewpoint - The AI sector is experiencing a divergence in performance, with applications remaining active while the computing power segment faces adjustments. The market is transitioning into a new phase where AI applications are becoming the primary focus for investment opportunities [1][2][5]. AI Applications - AI downstream applications are accelerating into the commercialization verification stage, with significant developments in both domestic and international markets. Companies like xAI and Anthropic have completed financing, and policies promoting "AI + manufacturing" are being implemented in China. The upcoming release of DeepSeek-V4 is expected to spark a new wave of AI application enthusiasm [2][9]. - The AI application index has seen a cumulative increase of over 12% since the beginning of the year, significantly outperforming the communication equipment index, indicating a strong market sentiment towards AI applications [10]. Computing Power - Major domestic companies, including ByteDance, are significantly increasing their capital expenditure plans, leading to marginal improvements in chip supply. This, combined with the continuous iteration of domestic large models, is driving a resurgence in data center bidding activities. The IDC sector is currently positioned at a valuation low, presenting an investment window for recovery and performance realization [10]. - The current price of the AI application ETF (159363) closed at 1.127 yuan, approaching the pre-rights issue closing price of 1.191 yuan, suggesting a potential "fill rights" market trend reflecting high industry sentiment [10]. Investment Products - The AI application ETF (159363) is structured to benefit directly from the commercial explosion of AI technology, with approximately 60% of its portfolio allocated to computing power and 40% to AI applications. This ETF represents a core investment in both computing power and AI applications [5][12]. - The ETF has seen significant trading activity, with a real-time transaction volume exceeding 800 million yuan and a net subscription of 130 million units, indicating strong investor interest [1][2]. Market Outlook - Goldman Sachs' research indicates that AI will remain a key investment theme in the market through 2026, reinforcing the importance of AI applications in future investment strategies [4][9].

Group 1 - The stock of Zhizhu experienced significant volatility, dropping nearly 10% to reach 188 HKD after previously rising over 8% to a price of 225.2 HKD. As of the report, Zhizhu's decline was over 8.01% with a trading volume exceeding 400 million HKD [1][7]. Group 2 - China Galaxy Securities predicts that by 2026, AI applications will transition from "AI empowerment" to "AI native." Companies that can internalize AI capabilities into their product architecture will gain a competitive advantage in the upcoming market [3][9].

人民财讯1月13日电，企查查APP显示，近日，熵基科技（301330）全资子公司厦门熵基科技有限公司 申请公布"情绪确定方法、装置、设备及可读存储介质"专利。专利摘要显示，本申请公开了一种情绪确 定方法、装置、设备及可读存储介质，该方法包括获取目标用户对应目标场景的脑波数据及情绪判断模 型；对所述脑波数据进行特征提取，得到用于表征脑部动态神经活动状态的多维度心情特征；基于所述 多维度心情特征及所述情绪判断模型，确定所述目标用户对应于所述目标场景的情绪属性；建立所述目 标场景与所述情绪属性的对应关系。可见，本申请可通过获取脑波数据与情绪判断模型，经特征提取、 情绪判断等步骤，建立目标场景与情绪属性间的对应关系，便于不同领域深入理解用户情绪，并以此为 基础为用户提供个性化服务以及心理健康干预。 ...