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联想申请信息处理方法和装置专利,引导目标模型基于目标工具的工具信息生成输出结果
Jin Rong Jie· 2025-12-27 06:28
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"信息处理方法和装置"的专利,公开号 CN121211335A,申请日期为2025年9月。 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和装置,涉及信息技术领域,该方法包括:依据至少两 个处理工具构建组合信息,所述至少两个处理工具具有关联关系;将所述组合信息保存在知识库中,其 中,如果所述组合信息在所述知识库中被检索命中,则所述至少两个处理工具的工具信息被添加至提示 词中,所述提示词用于引导目标模型基于目标工具的工具信息生成输出结果。 本文源自:市场资讯 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1751条,专利信 息5000条,此外企业还拥有行政许可238个。 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。 ...
联想申请控制方法和电子设备专利,根据使用信息配置振动反馈模组的触发参数
Jin Rong Jie· 2025-12-05 12:48
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。 专利摘要显示,本申请公开了一种控制方法和电子设备,涉及信息处理领域,包括:获得电子设备当前 的使用信息;基于所述使用信息配置所述电子设备的目标触摸区域所对应的振动反馈模组的触发参数, 所述触发参数是触发所述振动反馈模组提供振动反馈所需要满足的条件;其中,所述目标触摸区域是所 述电子设备的触摸板或目标触控屏的至少部分区域。 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1751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"控制方法和电子设备"的专利,公开号 CN121070178A,申请日期为2025年8月。 本文源自:市场资讯 作者:情报员 ...
联想申请信息处理系统、控制器及控制方法专利,显示图像整体主观质量提高
Jin Rong Jie· 2025-12-02 11:55
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]
牛市与长期投资方法
雪球· 2025-10-27 04:29
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].
从被吹捧到沦为鸡肋,“AI”这个词用了还不到一年
3 6 Ke· 2025-10-17 11:56
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].
腾讯申请信息处理方法、装置及存储介质专利,降低接入信息管理功能的成本
Jin Rong Jie· 2025-08-23 02:07
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]
拓尔思中标南方电网信息及情报分析项目
Xin Lang Cai Jing· 2025-08-21 06:26
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]
小米申请信息处理方法相关专利,可传输同一存命令的至少一个信令
Jin Rong Jie· 2025-08-12 06:13
Core Viewpoint - Beijing Xiaomi Mobile Co., Ltd. has applied for a patent titled "Information Processing Method, Device, System, and Storage Medium," indicating ongoing innovation in technology [1] Company Overview - Beijing Xiaomi Mobile Co., Ltd. was established in 2012 and is located in Beijing, primarily engaged in internet and related services [1] - The company has a registered capital of 148.8 million RMB [1] - It has made investments in 4 companies and participated in 138 bidding projects [1] - The company holds 5000 patent records and has 123 administrative licenses [1]