国家知识产权局信息显示，北京小米移动软件有限公司取得一项名为"一种移动终端"的专利，授权公告 号CN115701704B，申请日期为2021年8月。 天眼查资料显示，北京小米移动软件有限公司，成立于2012年，位于北京市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本148800万人民币。通过天眼查大数据分析，北京小米移动软件有 限公司共对外投资了4家企业，参与招投标项目147次，专利信息5000条，此外企业还拥有行政许可123 个。 本文源自：市场资讯 作者：情报员 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。 ...

国家知识产权局信息显示，腾讯科技（深圳）有限公司申请一项名为"交易处理方法、装置、电子设备 及存储介质"的专利，公开号CN121073599A，申请日期为2025年8月。 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。 本文源自：市场资讯 作者：情报员 专利摘要显示，本公开实施例公开了一种交易处理方法、装置、电子设备及存储介质，该方法包括：在 管理端显示资源配置页面，响应于在资源配置页面中的附加资源配置操作，向附加资源服务端请求将目 标附加资源额度配置至资源账户；在交易发起端显示交易发起页面，响应于在交易发起页面中的交易发 起操作，向交易服务端请求发起用于向资源账户转移目标资源的目标交易，以使交易服务端请求附加资 源服务端从目标附加资源额度中扣减与目标交易匹配的目标附加资源；在资源接收端显示交易结果页 面，若附加资源服务端成功全额扣减目标附加资源，交易结果页面显示的交易结果用于指示成功将目标 资源全额转移至资源账户；本公开实施例能够有效减轻交易服务端的负担。 天眼查资料显示，腾讯科技（深圳）有限公司，成立于2000年，位于深圳市，是一家以从事软件和信息 技术服务业为 ...

本文源自：市场资讯 作者：情报员 天眼查资料显示，腾讯科技（深圳）有限公司，成立于2000年，位于深圳市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本200万美元。通过天眼查大数据分析，腾讯科技（深圳）有限公 司共对外投资了15家企业，参与招投标项目277次，财产线索方面有商标信息5000条，专利信息5000 条，此外企业还拥有行政许可574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。 国家知识产权局信息显示，腾讯科技（深圳）有限公司取得一项名为"云平台的资产管理方法、装置、 设备及存储介质"的专利，授权公告号CN112115203B，申请日期为2020年9月。 ...

本文源自：市场资讯 作者：情报员 天眼查资料显示，北京小米移动软件有限公司，成立于2012年，位于北京市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本148800万人民币。通过天眼查大数据分析，北京小米移动软件有 限公司共对外投资了4家企业，参与招投标项目147次，专利信息5000条，此外企业还拥有行政许可123 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。 国家知识产权局信息显示，北京小米移动软件有限公司取得一项名为"信息流加载组件的优化方法、装 置、电子设备及存储介质"的专利，授权公告号CN119883395B，申请日期为2023年10月。 ...

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。 国家知识产权局信息显示，北京小米移动软件有限公司取得一项名为"显示装置以及显示装置的控制方 法"的专利，授权公告号CN117133188B，申请日期为2022年5月。 天眼查资料显示，北京小米移动软件有限公司，成立于2012年，位于北京市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本148800万人民币。通过天眼查大数据分析，北京小米移动软件有 限公司共对外投资了4家企业，参与招投标项目147次，专利信息5000条，此外企业还拥有行政许可123 个。 本文源自：市场资讯 作者：情报员 ...

Core Insights - The article highlights the stark contrast in the job market, where traditional tech positions are being eliminated while demand for AI model engineers is surging, with salaries starting at 1.2 million yuan per year [2][11] - It emphasizes the urgency for tech professionals to adapt to AI advancements, as traditional roles are losing competitiveness and AI represents a critical opportunity for career advancement [2][11] Group 1: Job Market Dynamics - Traditional tech roles are facing rapid obsolescence, with even experienced professionals being laid off [1] - There is a significant demand for AI model engineers, with companies struggling to fill these positions despite offering high salaries [2] - The article notes that the market for AI talent is highly competitive, with specific skills in RAG, Agent, and fine-tuning being essential for candidates [2][8] Group 2: Training and Development Opportunities - A specialized course titled "Practical Training in AI Model Application Development" is being offered to equip developers with necessary skills in RAG, Agent, and fine-tuning [3][6] - The course includes live sessions, practical projects, and additional resources such as interview question banks and job placement assistance [3][9] - Participants will gain insights into real-world applications of AI technology, enhancing their employability and technical capabilities [15][17] Group 3: Career Advancement and Networking - The course aims to help participants build a technical barrier and avoid job insecurity, particularly for those nearing the age of 35 [11][19] - It offers networking opportunities with industry leaders and potential job referrals, increasing the chances of securing high-paying positions [17][22] - The program has already benefited over 20,000 students, many of whom have successfully transitioned to higher-paying roles [9][17]

Core Insights - IBM is significantly advancing in AI through its watsonx platform, generative AI tools, and strategic partnerships, aiming to enhance business automation and decision-making across over 175 countries [1][2] Company Overview - Founded in 1922, IBM is evolving from its legacy in mainframes and IT services to focus on hybrid cloud, quantum computing, and AI [2] - The company has a market capitalization of approximately $282.9 billion and has seen its stock rise 40.19% this year, outperforming the S&P 500 Index [6][7] Financial Performance - In Q3 of fiscal 2025, IBM reported revenue of $16.3 billion, a 9% year-over-year increase, and net income of $1.74 billion, a significant recovery from a loss in the same quarter last year [11][12] - Software revenue reached about $7.2 billion, up 10%, while the infrastructure segment grew 17% to $3.6 billion, driven by strong demand for IBM Z mainframes [13] - The company generated $3.1 billion in net cash from operating activities and $2.4 billion in free cash flow, with a cash position of $14.9 billion at quarter-end [14] Dividend Policy - IBM has maintained a consistent dividend payout since 1916, with a recent quarterly dividend of $1.68 per share, resulting in a forward annual dividend yield of 2.20% [8][9] Future Outlook - IBM raised its full-year 2025 revenue growth guidance to over 5% and increased its free cash flow forecast to $14 billion [16] - The company's AI business has expanded to over $9.5 billion, reflecting rising customer adoption of its technology [15] Market Sentiment - Despite concerns about an AI bubble, analysts remain optimistic about IBM, with Bank of America reiterating a "Buy" rating and a price target of $315 [20][21] - Among 22 analysts, the consensus rating is "Moderate Buy," with potential for further stock price increases [22]

本文源自：市场资讯 国家知识产权局信息显示，腾讯科技（深圳）有限公司申请一项名为"任务调度方法、装置、电子设备 及存储介质"的专利，公开号CN 121050841 A，申请日期为2024年5月。专利摘要显示，本申请涉及计 算机技术领域，尤其涉及一种任务调度方法、装置、电子设备及存储介质，所述方法包括：从所述预设 资源中确定多个候选资源；对所述多个候选资源进行性能分析，得到所述多个候选资源各自对应的资源 性能信息；对所述每个候选资源的资源性能信息，以及所述目标任务与所述每个候选资源的标签匹配度 进行数据融合处理，得到所述目标任务与所述每个候选资源的关联度基于所述目标任务与所述每个候选 资源的关联度，从所述多个候选资源中确定目标资源；将所述目标任务分配给所述目标资源。本申请能 够在提高任务分配效率的同时，实现各资源的负载均衡，进而提高资源利用率以及任务处理效率。 作者：情报员 天眼查资料显示，腾讯科技（深圳）有限公司，成立于2000年，位于深圳市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本200万美元。通过天眼查大数据分析，腾讯科技（深圳）有限公 司共对外投资了15家企业，参与招投标项目275次， ...

Alphabet Inc. (NASDAQ:GOOGL) is one of the stocks Jim Cramer recently discussed. Cramer highlighted the company’s Gemini 3 improvement, as he commented: “The Gemini 3 improvement was very good news for Google and all the stocks connected to the AI efforts… So Google stock soared, as did Broadcom, which helped make the custom processors that were used to train Gemini 3. Hey, same goes [for] Celestica, remember that one, CLS, the contract manufacturer, and a couple of similar networking equipment vendors we ...

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