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"预测模型的确定方法和相关装 置"的专利，授权公告号CN117195957B，申请日期为2022年5月。 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279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。 本文源自：市场资讯 作者：情报员 ...

1月12日，天眼查融资历程显示，自变量机器人科技（济南）有限公司近日获得"A++轮"融资，涉及融 资金额10亿人民币，投资机构为一苇交易 | 自变量获字节、红杉10亿投资，一苇资本连续9轮担任财务 顾问。 资料显示，自变量机器人科技（济南）有限公司法定代表人为王潜，成立于2023年，位于济南市，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81.2758万人民币，并已于2026年完成了 A++轮，交易金额10亿人民币。 来源：市场资讯 通过天眼查大数据分析，自变量机器人科技（济南）有限公司共对外投资了5家企业，此外企业还拥有 行政许可7个。 天眼查信息显示，自变量机器人科技（济南）有限公司的股东为：汉海信息技术（上海）有限公司、王 潜、深圳市数通华技术服务合伙企业（有限合伙）、深圳市正和景技术服务合伙企业（有限合伙）、深 圳君联深运私募股权投资基金合伙企业（有限合伙）。 ...

Group 1 - The core point of the article is that Beijing Xiaomi Mobile Software Co., Ltd. has applied for a patent related to resource determination methods and devices, which aims to enhance the usability and reliability of SBFD (Service-Based Frequency Division) [1] Group 2 - The patent application, published as CN121312223A, was filed on April 2024 and includes a method for determining time-domain resources occupied by a first sub-band within a first time window based on signaling from network devices [1] - Beijing Xiaomi Mobile Software Co., Ltd. was established in 2012 and is primarily engaged in software and information technology services, with a registered capital of 148.8 million RMB [1] - The company has made investments in 4 enterprises, participated in 149 bidding projects, and holds 5000 patent records along with 123 administrative licenses according to Tianyancha data [1]

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by the Ministry of Industry and Information Technology (MIIT) and other departments, aiming to accelerate the integration of AI with the manufacturing sector and promote intelligent transformation in the industry [3]. Group 1: Key Tasks and Goals - The initiative outlines seven key tasks including innovation foundation, intelligent upgrade, product breakthroughs, entity cultivation, ecological expansion, safety protection, and international cooperation, with 21 specific measures to enhance the intelligent, green, and integrated development of manufacturing [5]. - By 2027, the goal is to promote the deep application of 3 to 5 general large models in manufacturing, create 100 high-quality industrial data sets, and establish 500 typical application scenarios [5]. Group 2: Industry Transformation Guidelines - The "Guidelines for Key Industry Transformation Empowered by AI" provide direction for sectors such as raw materials, equipment manufacturing, consumer goods, electronic information, and software services [6]. - In the automotive sector, the guidelines emphasize accelerating the intelligent upgrade of the entire supply chain, including the development of automotive large models for design and optimization [6]. Group 3: Industrial Internet and AI Integration - The integration of industrial internet and AI is highlighted as a crucial aspect of the initiative, with plans to enhance the level of integration by 2028, including the deployment of new industrial networks in over 50,000 enterprises [9]. - The article notes that AI is transitioning from being an auxiliary tool to becoming a core engine for industrial internet, enhancing capabilities such as real-time optimization and intelligent scheduling [10]. Group 4: Local Initiatives and Developments - Various local governments are actively promoting AI initiatives, with Shanghai aiming to add 100 manufacturing enterprises with over 1 billion yuan in annual output by 2028 [12]. - The establishment of dedicated AI development agencies in cities like Guangzhou and Zhuhai reflects a growing commitment to fostering AI innovation and integration within local industries [13].

Core Viewpoint - The Chinese government is accelerating the integration of artificial intelligence (AI) with the manufacturing sector to promote intelligent transformation and drive economic growth through the issuance of the "AI + Manufacturing" implementation opinions and the "Industrial Internet and AI Integration Empowerment Action Plan" [1][2]. Group 1: Key Tasks and Goals - The "Opinions" outline seven key tasks including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecological expansion, safety protection, and international cooperation, with 21 specific measures to enhance the intelligent, green, and integrated development of manufacturing [2][3]. - By 2027, the plan aims to implement 3 to 5 general large models in manufacturing, create 100 high-quality industrial data sets, and promote 500 typical application scenarios [2][3]. Group 2: Industry Focus and Applications - The focus industries for AI integration include raw materials, equipment manufacturing, consumer goods, electronic information, and software services, with specific guidance provided for each sector [3][4]. - In the automotive sector, the plan emphasizes the intelligent upgrade of the entire supply chain, including the development of large models for automatic design and optimization of vehicle parameters [3][4]. Group 3: Infrastructure and Support - The "Action Plan" emphasizes the need for new industrial networks to support AI applications, targeting the deployment of these networks in over 50,000 enterprises by 2028 [6][7]. - The plan also aims to enhance the quality of industrial data collection and sharing in 20 key industries, establishing a robust data governance framework [6][7]. Group 4: Local Initiatives - Various local governments are launching their own AI initiatives, such as Shanghai's three-year action plan to support advanced manufacturing and Beijing's plan to establish itself as an AI innovation hub [8][9]. - The establishment of dedicated AI development agencies in regions like Guangzhou and Zhuhai signifies a growing commitment to fostering AI-driven economic growth [9].

Group 1 - The core viewpoint of the news is the promotion of the integration of artificial intelligence (AI) with the manufacturing industry, aiming to accelerate the intelligent transformation of manufacturing and enhance economic growth through AI technology [1][2][4]. - The Ministry of Industry and Information Technology (MIIT) and eight other departments have issued the "Implementation Opinions on the Special Action of 'AI + Manufacturing'," which outlines seven key tasks to promote the dual empowerment of AI technology and manufacturing applications [1][2]. - By 2028, the goal is to have at least 50,000 enterprises implement "AI + Industrial Internet" upgrades, significantly improving the integration level of industrial internet and AI [1][6]. Group 2 - The "Implementation Opinions" aim to drive the deep application of 3 to 5 general large models in manufacturing by 2027, creating specialized industry models and promoting 500 typical application scenarios [2][3]. - The focus is on fostering 2 to 3 globally influential leading enterprises and a batch of specialized small and medium-sized enterprises, while establishing a global leading open-source ecosystem [2][3]. - Specific measures include promoting the development of intelligent chips, supporting breakthroughs in key technologies, and enhancing the safety governance capabilities of AI [3][4]. Group 3 - The industrial internet is identified as a crucial carrier for the integration of AI and manufacturing, with plans to expand new industrial networks to meet the demands of AI applications [6][7]. - The MIIT emphasizes that AI is transitioning from being an auxiliary tool to becoming a core engine for industrial internet, enhancing real-time optimization and intelligent scheduling capabilities [7][8]. - Local governments are actively formulating their own "AI +" plans to drive high-quality development across various industries, with specific targets for manufacturing enterprises and AI core industry growth [8][9].

Group 1 - China Construction Bank Corporation has obtained a patent for a method, device, equipment, and storage medium for correcting resource scheduling records, with authorization announcement number CN115564553B, and the application date is September 2022 [1] - China Construction Bank, established in 2004 and located in Beijing, primarily engages in monetary financial services, with a registered capital of approximately 26.16 billion RMB [1] - The bank has invested in 36 companies, participated in 5,000 bidding projects, holds 1,896 trademark records, and has 5,000 patent records, along with 149 administrative licenses [1] Group 2 - Jianxin Financial Technology Co., Ltd., established in 2018 and located in Shanghai, focuses on software and information technology services, with a registered capital of approximately 1.73 billion RMB [1] - The company has invested in 6 enterprises, participated in 4,257 bidding projects, holds 297 trademark records, and has 5,000 patent records, along with 10 administrative licenses [1]

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。 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149次，专利信息5000条，此外企业还拥有行政许可123 个。 作者：情报员 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"信息传输方法及装置、通信设备 及存储介质"的专利，授权公告号CN116349360B，申请日期为2023年2月。 本文源自：市场资讯 ...

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"测量上报方法和装置"的专利，授 权公告号CN117957821B，申请日期为2022年8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149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。 ...

Group 1 - The State Intellectual Property Office of China has granted China Construction Bank a patent for "Index Configuration Method, Device, and Electronic Equipment," with the authorization announcement number CN117033429B, applied for on August 2023 [1] - China Construction Bank, established in 2004 and located in Beijing, primarily engages in monetary financial services, with a registered capital of 26,160,038.1459 thousand RMB [1] - According to data analysis, China Construction Bank has invested in 36 companies, participated in 5,000 bidding projects, holds 1,896 trademark records, 5,000 patent records, and possesses 149 administrative licenses [1] Group 2 - Jianxin Financial Technology Co., Ltd., established in 2018 and located in Shanghai, focuses on software and information technology services, with a registered capital of 1,729.729729 million RMB [1] - Data analysis shows Jianxin Financial Technology has invested in 6 companies, participated in 4,256 bidding projects, holds 297 trademark records, 5,000 patent records, and possesses 10 administrative licenses [1]