国家知识产权局信息显示，联想（北京）有限公司申请一项名为"信息处理方法"的专利，公开号 CN121541805A，申请日期为2025年11月。 本文源自：市场资讯 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 作者：情报员 专利摘要显示，本申请公开了一种信息处理方法，包括：获得输入信号；如果所述输入信号满足条件， 基于模型生成目标内容；基于第一视觉通道渲染所述目标内容，以对所述输入信号进行响应；所述第一 视觉通道与第二视觉通道不同，所述第二视觉通道为所述电子设备渲染应用窗口的通道，所述显示为针 对所述配置的短暂视觉反馈。 天眼查资料显示，联想（北京）有限公司，成立于1992年，位于北京市，是一家以从事计算机、通信和 其他电子设备制造业为主的企业。企业注册资本565000万港元。通过天眼查大数据分析，联想（北京） 有限公司共对外投资了107家企业，参与招投标项目5000次，财产线索方面有商标信息1741条，专利信 息5000条，此外企业还拥有行政许可238个。 ...

国家知识产权局信息显示，联想（北京）有限公司申请一项名为"一种信息处理方法和电子设备"的专 利，公开号CN121503513A，申请日期为2025年9月。 专利摘要显示，本公开提供了一种信息处理方法和电子设备，涉及计算机技术领域。一种信息处理方 法，包括：接收基于目标对象的受损标签得到的残缺编码信息；受损标签中的部分特征缺失；基于残缺 编码信息的物理信号特征和逻辑校验特征，构建残缺编码信息的双域特征向量；基于残缺编码信息中的 目标位置对应的位置嵌入向量与双域特征向量，确定残缺编码信息的增强特征向量；增强特征向量表征 受损标签在至少一个维度的特征信息；基于校验矩阵和构造规则，构造注意力掩码；基于注意力掩码和 信息处理模型，对增强特征向量进行识别，得到目标对象对应的完整编码信息。 天眼查资料显示，联想（北京）有限公司，成立于1992年，位于北京市，是一家以从事计算机、通信和 其他电子设备制造业为主的企业。企业注册资本565000万港元。通过天眼查大数据分析，联想（北京） 有限公司共对外投资了108家企业，参与招投标项目5000次，财产线索方面有商标信息1741条，专利信 息5000条，此外企业还拥有行政许可238 ...

Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "An Information Processing Method, Module Determination Method, and Information Processing Device," with publication number CN121457525A, and the application date is October 2025 [1] - The patent abstract reveals a method that includes obtaining a first input feature, which can be one of text, image, video, or audio features, with dimensions differing from the first language model [1] - The method involves converting the first input feature into first probability information, which represents the probability distribution of vectors in a predefined vector set, and then determining a second input feature based on this probability information [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [2] - The company has a registered capital of 565 million HKD and has invested in 108 enterprises, participated in 5,000 bidding projects, and holds 1,743 trademark records and 5,000 patent records [2] - Additionally, the company possesses 238 administrative licenses [2]

Core Insights - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Information Processing Method and Device," with publication number CN121211335A, filed on September 2025 [1] - The patent describes a method involving the construction of combined information based on at least two processing tools that have a relational connection, which is then stored in a knowledge base [1] Company Overview - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [1] - The company has a registered capital of 565 million Hong Kong dollars [1] - Lenovo (Beijing) has invested in 107 enterprises and participated in 5,000 bidding projects, with 1,751 trademark records and 5,000 patent records [1] - Additionally, the company holds 238 administrative licenses [1]

Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Control Method and Electronic Device," with publication number CN121070178A, and the application date is August 2025 [1] - The patent abstract reveals that the application discloses a control method and electronic device related to information processing, which includes obtaining the current usage information of the electronic device [1] - The method involves configuring the trigger parameters of the vibration feedback module corresponding to the target touch area based on the usage information, where the target touch area is at least part of the touchpad or target touchscreen of the electronic device [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [1] - The company has a registered capital of 565 million Hong Kong dollars and has invested in 107 enterprises, participated in 5,000 bidding projects, and has 1,751 trademark information records [1] - Additionally, the company holds 238 administrative licenses [1]

Core Insights - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Information Processing System, Controller, and Control Method," with publication number CN121053914A, filed on May 2024 [1] - The patent aims to enhance the subjective quality of displayed images through an information processing system that includes a main system and a display unit [1] Company Overview - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [1] - The company has a registered capital of 565 million HKD [1] - Lenovo (Beijing) has invested in 107 enterprises and participated in 5,000 bidding projects, with 1,751 trademark records and 5,000 patent records [1] - The company also holds 238 administrative licenses [1]

Core Viewpoint - The article emphasizes the importance of long-term investment strategies over short-term market fluctuations, suggesting that true financial freedom is achieved through consistent, well-researched investments rather than relying on market trends or bull markets [2][3]. Group 1: Market Observations - The stock market has experienced significant growth, with the ChiNext index rising by 125% over five months, indicating a period of extreme market enthusiasm since 2008 [2]. - Historical patterns show that despite numerous bull markets, only a small fraction of investors achieve financial independence, highlighting the disparity between market performance and individual investment success [2]. Group 2: Investment Philosophy - Investment should be viewed as a long-term endeavor, focusing on achieving financial freedom rather than short-term gains, making market volatility less significant [3]. - The article critiques the current investment literature for being overly theoretical and lacking practical, up-to-date case studies that demonstrate effective investment analysis methods [3]. Group 3: Information Processing - In the era of abundant information, the ability to effectively process and interpret data is crucial for making informed investment decisions, necessitating a robust information management system [4]. - Developing a strong commercial understanding and insight is essential for investors, which requires ongoing personal development and commitment [4]. Group 4: Learning and Growth - The article stresses the long-term benefits of continuous learning in investment, suggesting that the differences in wealth accumulation become pronounced over extended periods, such as five to ten years [4].

Core Insights - The article discusses the potential onset of a third AI winter, drawing parallels with historical AI downturns due to unmet expectations and market realities [4][7]. Group 1: Current AI Market Situation - Many AI products launched earlier this year are now facing declining interest as they fail to address real business problems, leading to increased operational burdens and costs for companies [1][5]. - The high costs of training large models and their limited applicability in vertical markets have resulted in low return on investment, causing many AI projects to become mere showcases rather than practical solutions [5][6]. Group 2: Historical Context of AI Winters - The first AI winter occurred from 1974 to 1980, characterized by overly optimistic predictions that were not met due to technological limitations, leading to reduced funding and interest in AI research [2][3]. - The second AI winter from 1987 to 1993 was marked by the limitations of expert systems, which could not scale or adapt, resulting in a loss of market confidence and funding [3][4]. Group 3: Factors Contributing to Potential Third AI Winter - There is a significant gap between technological capabilities and market expectations, leading to a lack of sustainable business models for many AI products [6][7]. - Many companies are rushing into AI projects without a clear strategy or understanding of market needs, resulting in products that do not align with customer requirements [6][7]. - The urgency for immediate returns from both enterprises and investors is causing a lack of patience for long-term AI development, which may lead to a withdrawal of capital and support [7].

Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "Information Processing Method, Device, and Storage Medium" with publication number CN120524056A, filed on February 2024 [1] - The patent describes a method that includes receiving information management requirements from a first object, determining information management functions, configuring multiple information management project templates, and generating an information management toolkit for access [1] - The implementation of this patent allows the first object to embed the toolkit into its information display page, thereby reducing the cost of accessing information management functions [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has invested in 15 enterprises, participated in 264 bidding projects, and holds 5000 trademark records and 5000 patent records [2] - Additionally, Tencent Technology possesses 535 administrative licenses [2]

Core Viewpoint - Tuoer Technology has won the bid for the information and intelligence analysis project of Southern Power Grid, indicating a significant opportunity for the company in the energy sector [1] Group 1: Project Details - The project will utilize technologies such as natural language processing, text mining, and information processing [1] - The aim is to achieve rapid discovery, tracking, and comparison of customized policy events [1] - The project will enable quick parsing and intelligent summarization of policy information [1] Group 2: Analytical Capabilities - Tuoer Technology will automatically construct the development context of policy events [1] - The analysis will include policy information interpretation, policy change analysis, and policy comparison analysis [1]