加入"中国IC独角兽联盟"，请点击进入 近日，英伟达算力芯片被曝出存在严重安全问题。此前，美议员呼吁要求美出口的先进芯片必须配 备"追踪定位"功能。美人工智能领域专家透露，英伟达算力芯片"追踪定位""远程关闭"技术已成 熟。为维护中国用户网络安全、数据安全，依据《网络安全法》《数据安全法》《个人信息保护 法》有关规定，国家互联网信息办公室于2025年7月31日约谈了英伟达公司，要求英伟达公司就对 华销售的H20算力芯片漏洞后门安全风险问题进行说明并提交相关证明材料。 " 网信中国"微信公号 是说芯语转载，欢迎关注分享 ...

近日，英伟达算力芯片被曝出存在严重安全问题。 此前，美议员呼吁要求美出口的先进芯片必须配 备"追踪定位"功能。 美人工智能领域专家透露，英伟达算力芯片"追踪定位""远程关闭"技术已成熟。 为维护中国用户网络安全、数据安全，依据《网络安全法》《数据安全法》《个人信息保护法》有关规 定， 国家互联网信息办公室于2025年7月31日约谈了英伟达公司， 要求英伟达公司就对华销售的H20算 力芯片漏洞后门安全风险问题进行说明并提交相关证明材料。 涨停潮！利好突袭，集体爆发→ 来源：网信中国 国家互联网信息办公室就H20算力芯片漏洞后门安全风险约谈英伟达公司 ...

美人工智能领域专家透露，英伟达算力芯片"追踪定位""远程关闭"技术已成熟。为维护中国用户网 络安全、数据安全，依据《网络安全法》《数据安全法》《个人信息保护法》有关规定， 国家互联 网信息办公室于2025年7月31日约谈了英伟达公司，要求英伟达公司就对华销售的H20算力芯片漏洞 后门安全风险问题进行说明并提交相关证明材料。 据网信中国消息， 近日，英伟达算力芯片被曝出存在严重安全问题。此前，美议员呼吁要求美出口 的先进芯片必须配备"追踪定位"功能。 ...

为维护中国用户网络安全、数据安全，依据《网络安全法》《数据安全法》《个人信息保护法》有关规 定，国家互联网信息办公室于2025年7月31日约谈了英伟达公司，要求英伟达公司就对华销售的H20算 力芯片漏洞后门安全风险问题进行说明并提交相关证明材料。 近日，英伟达算力芯片被曝出存在严重安全问题。此前，美议员呼吁要求美出口的先进芯片必须配 备"追踪定位"功能。美人工智能领域专家透露，英伟达算力芯片"追踪定位""远程关闭"技术已成熟。 ...

Core Viewpoint - The rapid development of big data and artificial intelligence has highlighted data security and privacy issues, with traditional data transmission methods posing significant risks. The introduction of blockchain technology offers new solutions, exemplified by MicroAlgorithm Technology's innovative BlockFL architecture, which ensures secure, efficient, and privacy-protecting data transmission [1][6]. Group 1: BlockFL Architecture - BlockFL architecture utilizes blockchain networks to achieve efficient data exchange and synchronization in federated learning, allowing devices to upload local model updates and download global model updates quickly and effectively [2]. - The decentralized nature and high concurrency of blockchain ensure that all devices receive the same global model updates, maintaining consistency and accuracy in model training [2]. Group 2: Process Overview - Initialization involves the system administrator creating an initial model and broadcasting it to all participating nodes while the blockchain records metadata of the federated learning activity [4]. - Each node trains the model on its local dataset without exposing original data, thus protecting data privacy [4]. - Nodes upload encrypted model parameters to the blockchain, where smart contracts validate their effectiveness and integrity, preventing malicious actions [4]. - Once verified, a central server or designated aggregation node extracts parameters from the blockchain, averages them, and generates a new version of the global model [4]. - The updated global model is then broadcasted to all nodes for the next training round, with the blockchain ensuring traceability of all operations [4]. - An incentive and penalty mechanism is integrated into BlockFL to encourage participation and quality data contribution, with smart contracts automatically executing rewards and penalties [4]. Group 3: Applications and Future Prospects - BlockFL architecture can be applied across various sectors, including healthcare, financial risk control, smart manufacturing, and smart cities, facilitating data collaboration while maintaining security and privacy [5]. - In healthcare, BlockFL enables hospitals to collaboratively train diagnostic models while protecting patient privacy; in finance, it allows institutions to identify fraud without sharing sensitive information; in smart manufacturing, it promotes collaboration between factories; and in smart cities, it supports inter-departmental cooperation without compromising sensitive data [5]. - The combination of blockchain and federated learning in BlockFL addresses traditional data transmission challenges, enhancing efficiency and accuracy in model training, positioning it as a significant technological support in data transmission and machine learning in the future [6].

Group 1 - The core announcement is about the establishment of Beijing Data Group Co., Ltd., which will involve the transfer of state-owned shares from Beijing Guozi Company to this new entity [1] - After the share transfer, Beijing Data Group will hold 26.24% of Digital Certification's shares directly and another 26.24% indirectly through Shixin Shares, totaling 52.48% [1] - The actual controller of Digital Certification will remain Beijing Guozi Company despite the change in the controlling shareholder [1] Group 2 - As of the announcement date, the share transfer agreement has not been signed, and the timing of the transfer remains uncertain [2] - Digital Certification, founded in 2001, is a leading provider of network trust and data security solutions in China and has been listed on the A-share market since 2016 [2] - For the fiscal year 2024, Digital Certification expects a revenue increase of 15.43% to 1.122 billion yuan and a net profit increase of 126.68% to 12.59 million yuan [2] - In the first quarter of 2025, Digital Certification reported a revenue increase of 0.67% to 179.5 million yuan but a net loss of 21.72 million yuan [2] Group 3 - As of July 30, Digital Certification's stock price was 30.5 yuan per share, with a total market capitalization of 8.235 billion yuan [3]

Core Points - China Aviation Information Technology Co., Ltd. (China Aviation) has become the first company in the domestic civil aviation industry to receive the National Data Security Capability Maturity (DSMM) Level 4 certification from the Ministry of Industry and Information Technology [1] - The company has actively implemented the national data security strategy, focusing on compliance and application of data security measures [1] - China Aviation has established a comprehensive data security management mechanism covering the entire data lifecycle, including collection, storage, transmission, usage, and destruction [1] Data Security Management - The company employs a combination of data classification, encryption transmission, and access control measures to ensure passenger information is "available but not visible, controllable but not abused" [1] - Continuous improvement of the data security management system is planned to enhance the company's data security capabilities [1] - The goal is to safeguard data security while promoting the development of smart civil aviation in China [1]

在全球贸易格局深度重构和中国经济运行稳中向好的背景下，人工智能正加速融入企业经营管理的各个环节，从辅助工具跃升为新型"生产力系统"。2025年 上半年，面对快速演进的技术周期，中国企业家的判断力与行动力，正在成为微观经济韧性的真实写照。 7月10日、11日、15日，2025新京报贝壳财经年会在北京和上海举行，今年的主题为"中国经济：开放与韧性共生长"。7月10日，"新京报贝壳财经年会·未来 大会"上，《中国企业家人工智能应用调研报告（2025）》（以下简称《报告》）正式发布，揭晓中国企业人工智能应用的十大趋势。 2025年6月，新京报贝壳财经发起《企业家人工智能应用调查》，覆盖制造、科技、金融、互联网等18个行业，收集128位企业负责人的有效样本，企业类型 涵盖中小企业、大型集团、初创公司与头部平台，其中42.97%为成立十年以上的成熟企业，17.19%为大型企业，35.16%为微型企业。这一多样化样本使报 告具备较强的广谱参考价值和现实温度。 《报告》显示，在AI转型应用中，企业的顾虑主要集中在"数据风险""经济回报""技术依赖"三大方面。随着企业对人工智能应用的深入推进，配套支持政策 的诉求也趋于集中、明 ...

证券日报网讯中孚信息（300659）7月29日在互动平台回答投资者提问时表示，公司高度重视数据安全 业务的合规运营，未收到有关部门关于合规调查的通知。目前，现有业务合同正常履约中。 ...

Core Viewpoint - The rapid advancement of China's automotive industry in smart technology is positioning it as a global leader in the intelligent vehicle sector, with significant opportunities for international expansion [2][4]. Group 1: Industry Development - China's passenger cars with L2 and above driver assistance features have surpassed a 50% installation rate, leading globally [3]. - The penetration rate of smart cockpits in domestic passenger vehicles is expected to exceed 70% by 2024, indicating a strong market presence [3]. - Key domestic companies like Horizon Robotics, Black Sesame, Huawei, and Baidu are making significant breakthroughs in smart driving algorithms, lidar, high-precision maps, and automotive-grade chips [3]. Group 2: International Expansion - Companies like Zhiji and Leap Motor are launching models equipped with advanced driving systems in international markets, such as the UK [4]. - Robotaxi companies like Baidu's Apollo and Pony.ai are expanding overseas through partnerships with local governments and international ride-hailing platforms [5]. - The penetration rate of L2-L3 automated driving features in new vehicles in China is leading the global average by nearly 20%, providing a strong foundation for international growth [5]. Group 3: Challenges and Compliance - The automotive industry's international expansion faces challenges related to geopolitical factors, technical standards, and data compliance [7][8]. - Over 100 countries have issued data security regulations, complicating compliance for companies looking to expand their smart vehicle offerings [8]. - Differences in consumer willingness to adopt smart features in foreign markets, particularly in Europe, pose additional challenges for Chinese automakers [9]. Group 4: Strategic Recommendations - Companies are advised to adopt localized strategies for data storage and processing to ensure compliance with local regulations [11]. - Establishing smart technology R&D centers in overseas markets can help companies better understand local consumer needs and regulatory requirements [12]. - Active participation in the formulation of international standards for intelligent connected vehicles is crucial for enhancing China's influence in the global automotive landscape [12][13].