Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "A Data Processing Method, Device, Equipment, and Readable Storage Medium," with publication number CN120256708A and application date of January 2024 [1] - The patent describes a method that includes obtaining sample data for model training based on historical resource data related to sample objects and their past business operations [1] - The method involves using a recommendation model to perform probabilistic predictions on the sample data, optimizing the model through monotonic transformations of the predicted probabilities for various business indicators [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 made investments in 15 enterprises, participated in 260 bidding projects, and holds 5000 trademark and patent records, along with 469 administrative licenses [2]

Core Viewpoint - AI-assisted medical devices are at a critical juncture for large-scale hospital use, necessitating the establishment of a standardized system [1][3]. Group 1: Policy and Regulation - The document issued by the Central Committee and the State Council emphasizes the need for innovative support mechanisms for emerging industries, particularly in AI-assisted medical devices [1][3]. - The exploration of access and application mechanisms for AI-assisted medical devices is highlighted, focusing on data collection, integration, sharing, and compliance under safe and controllable conditions [1][4]. Group 2: Industry Trends - The healthcare sector is witnessing a deep transformation due to AI technologies, with numerous medical device companies collaborating with clinical institutions [3]. - Shenzhen is positioning itself as a pioneer city for AI innovation in healthcare, with nearly 450 real application scenarios being launched [3]. Group 3: Data Management - Data is identified as a key element in AI, becoming crucial for enhancing precision and iteration speed in AI applications [4][5]. - The need for rules and standards regarding data ownership, usage rights, and pricing transactions for AI medical devices is emphasized [5]. Group 4: Market Dynamics - The inclusion of AI-assisted diagnosis in the medical service pricing structure by the National Healthcare Security Administration indicates a shift in how hospitals can utilize AI in diagnostics [6]. - Despite the integration of AI into the pricing system, challenges remain regarding the establishment of unified pricing standards for AI medical devices [6].

Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Data Processing Method, Model Compression Method and Device," with publication number CN120068971A, and the application date is February 2025 [1] - The patent abstract reveals a data processing method that includes obtaining input data for a target task, which can be image data, text data, voice data, or video data [1] - The method involves processing the target task based on two different parameter sets that represent the target model, where the first and second types of tasks meet similarity conditions [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is primarily engaged in the manufacturing of computers, communications, and other electronic devices [2] - The company has a registered capital of 565 million Hong Kong dollars and has invested in 102 enterprises [2] - Lenovo (Beijing) has participated in 5,000 bidding projects and holds 1,730 trademark records and 5,000 patent records, along with 237 administrative licenses [2]

Core Viewpoint - The third National Postdoctoral Innovation and Entrepreneurship Competition has launched a "Challenge and Lead" project list, featuring 766 technology projects that seek participation from postdoctoral researchers and teams [1][2]. Group 1: Competition Overview - The competition is the largest and most comprehensive postdoctoral event in China, aimed at promoting the integration of industry, academia, and research [1]. - The "Challenge and Lead" segment invites enterprises to present technical challenges, which postdoctoral researchers are encouraged to solve [1]. Group 2: Project Details - A total of 766 project demands have been released, focusing on four key areas aligned with national strategies and cutting-edge scientific technologies, with a total planned investment exceeding 40 billion yuan [2]. - The projects cover seven major directions, including new generation information technology and artificial intelligence, high-end equipment manufacturing, and robotics [2]. - The top areas of demand include: - New generation information technology and artificial intelligence: 143 projects (18.7%) - Biomedicine and health: 140 projects (18.3%) - New materials and petrochemicals: 135 projects (17.6%) - High-end equipment manufacturing and robotics: 131 projects (17.1%) - New energy and energy conservation: 93 projects (12.1%) - Modern agriculture and food: 67 projects (8.7%) - Other industries: 57 projects (7.4%) [2]. Group 3: Participation and Timeline - The project list has been publicly released on various platforms, including the China Postdoctoral website and the official competition website [3]. - The registration deadline for participation is July 31, 2025, with successful teams invited to the finals in Quanzhou, Fujian Province, in mid to late October [3].

Core Viewpoint - China Merchants Bank has applied for a patent related to data processing methods that significantly enhance the efficiency of processing merchant payment limits in high-concurrency scenarios [1]. Group 1: Patent Application Details - The patent titled "Data Processing Method, Device, Equipment, Storage Medium, and Product" was filed with the National Intellectual Property Administration, with publication number CN 119671733 A and an application date of November 2024 [1]. - The patent describes a method that utilizes a predefined flow detection algorithm to identify payment flow scenarios in target systems [1]. - In high-concurrency scenarios, the method employs an asynchronous processing strategy and a pre-generated asynchronous queue to accumulate payment transaction limit information, resulting in improved efficiency compared to traditional polling methods [1]. Group 2: Company Overview - China Merchants Bank, established in 1987 and located in Shenzhen, primarily engages in monetary financial services [2]. - The company has a registered capital of approximately 25.22 billion RMB and a paid-in capital of about 296.29 million RMB [2]. - China Merchants Bank has invested in 15 enterprises, participated in 5,000 bidding projects, and holds 1,327 trademark records and 1,712 patent records, along with 325 administrative licenses [2].