企查查APP显示，近日，智元创新（上海）科技股份有限公司申请公布"模型训练方法、机器人、电子 设备及介质"专利。该申请的技术方案能够提高模型的训练效率。 ...

国家知识产权局信息显示，中移（苏州）软件技术有限公司、中国移动通信集团有限公司取得一项名 为"模型训练方法、容器预热方法、装置及电子设备"的专利，授权公告号CN120850052B，申请日期为 2025年9月。 天眼查资料显示，中移（苏州）软件技术有限公司，成立于2014年，位于苏州市，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317200万人民币。通过天眼查大数据分析，中移（苏州）软 件技术有限公司参与招投标项目5000次，财产线索方面有商标信息112条，专利信息2717条，此外企业 还拥有行政许可28个。 来源：市场资讯 中国移动通信集团有限公司，成立于1999年，位于北京市，是一家以从事电信、广播电视和卫星传输服 务为主的企业。企业注册资本30000000万人民币。通过天眼查大数据分析，中国移动通信集团有限公司 共对外投资了55家企业，参与招投标项目5000次，财产线索方面有商标信息2206条，专利信息5000条， 此外企业还拥有行政许可50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，上海浦东发展银行股份有限公司取得一项名为"模型训练方法、信息分类方 法、装置、设备及存储介质"的专利，授权公告号CN115310443B，申请日期为2022年9月。 来源：市场资讯 天眼查资料显示，上海浦东发展银行股份有限公司，成立于1992年，位于上海市，是一家以从事货币金 融服务为主的企业。企业注册资本2935208.0397万人民币。通过天眼查大数据分析，上海浦东发展银行 股份有限公司共对外投资了43家企业，参与招投标项目5000次，财产线索方面有商标信息543条，专利 信息1073条，此外企业还拥有行政许可172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。 ...

（原标题：智元机器人新专利公布，可提高机器人控制的精度） 企查查APP显示，近目，智元创新（上海）科技股份有限公司申请公布"机器人控制方法、模型训练方法、机器人、介质及产品"专利。 专利摘要显示，本公开涉及人工智能领域。方法包括：获取场景图像以及机器人控制指令；对场景图像以及机器人控制指令进行特征提取处理， 得到第一特征向量以及第二特征向量，第一特征向量为融合场景图像的特征以及机器人控制指令的特征的特征向量，第二特征向量为表征机器人 控制指令的特征向量；基于第一特征向量以及第二特征向量进行查询处理，得到与第二特征向量关联的关联持征向量；对关联持征向量进行动作 预测处理，得到机器人的目标动作；根据目标动作对机器人进行控制。本公开的方法可以提高机器人控制的精度。 相关ETF | 人工智能AIETF | (产品代码: 515070) | | --- | --- | | ★ 跟踪：中证人工智能主题指数 | | | 近五日涨跌:4.64% | | | 市盈率: 62.42倍 | | 资金流向: 最新份额为54.2亿份, 增加 了1200.0万份,净申赎 2419.0万元。 估值分位: 62.53% 机器人ETF (产品 ...

国家知识产权局信息显示，中国工商银行股份有限公司取得一项名为"模型训练方法、标准格式文档生 成方法及装置"的专利，授权公告号CN116484223B，申请日期为2023年4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。 天眼查资料显示，中国工商银行股份有限公司，成立于1985年，位于北京市，是一家以从事货币金融服 务为主的企业。企业注册资本35640625.7089万人民币。通过天眼查大数据分析，中国工商银行股份有 限公司共对外投资了28家企业，参与招投标项目5000次，财产线索方面有商标信息965条，专利信息 5000条，此外企业还拥有行政许可79个。 来源：市场资讯 ...

Group 1 - The core point of the news is that China National Petroleum Corporation (CNPC) has applied for a patent related to model training methods and VSP wavefield separation methods, indicating a focus on enhancing oil and gas exploration technologies [1] - The patent application, published as CN121303232A, was filed on July 2024 and aims to utilize deep learning techniques for high-precision VSP wavefield separation [1] - The method involves constructing a deep sparse autoencoder network to process VSP sample data, enabling the separation of different wavefields based on gradient features [1] Group 2 - CNPC was established in 1999 and is primarily engaged in oil and gas extraction, with a registered capital of approximately 18.3 billion RMB [2] - The company has made investments in 1,296 enterprises and participated in 443 bidding projects, showcasing its extensive involvement in the industry [2] - CNPC holds 5000 patent records and 38 trademark information entries, along with 168 administrative licenses, reflecting its active innovation and regulatory compliance [2]

Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "Model Training Method, Recommendation Method, Device, Electronic Equipment, Computer Program Product, and Computer-Readable Storage Medium" with publication number CN120524221A, filed on February 2024 [1] - The patent application describes a method that includes obtaining a recommendation model to be trained, multiple training samples, and their label information, followed by feature mapping of each training sample to obtain embedding vectors [1] - The method involves feature fusion mapping of first and second click message sequences using a shared dynamic embedding table to derive fused embedding vectors, which are then used to train the recommendation model [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 and patent information records, along with 535 administrative licenses [2]

Group 1 - The State Intellectual Property Office of China has granted a patent to Beijing Xiaomi Mobile Software Co., Ltd. and Beijing Xiaomi Pinecone Electronics Co., Ltd. for a technology related to "user behavior prediction methods, model training methods, electronic devices, and storage media" [1] - Beijing Xiaomi Mobile Software Co., Ltd. was established in 2012, has a registered capital of 148.8 million RMB, and has participated in 139 bidding projects, with a total of 5000 patent records [1] - Beijing Xiaomi Pinecone Electronics Co., Ltd. was founded in 2014, has a registered capital of 25 million RMB, and holds 15 trademark records and 1046 patent records [1]

Group 1 - The core point of the article is that Tencent Technology (Shenzhen) Co., Ltd. has obtained a patent for a data processing method, model training method, system, and storage medium, with the patent number CN113570398B, applied for on February 2021 [1] - Tencent Technology was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [1] - The company has invested in 15 enterprises and participated in 264 bidding projects, holding 5000 trademark records and 5000 patent records, along with 537 administrative licenses [1]

Core Insights - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "Model Training Method, Information Delivery Method, Device, Equipment, and Medium," with publication number CN120430833A, filed on February 2024 [1] - The patent describes a method that involves obtaining positive samples, negative samples, and unlabeled samples, which are used to train a label prediction model and a delivery prediction model [1] Company Overview - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is located in Shenzhen, primarily engaged in software and information technology services [1] - The company has a registered capital of 2 million USD and has invested in 15 enterprises, participated in 263 bidding projects, and holds 5000 trademark records and 5000 patent records [1] - Additionally, the company possesses 527 administrative licenses [1]