近日，武汉市经济和信息化局发布2025年武汉市垂直行业模型拟认定名单。经多轮严格 遴选，6个标杆垂直行业模型和20个优秀垂直行业模型脱颖而出，涵盖医疗、工业制造、政 务办公等多个关键领域，将为城市数字化转型注入新动能。 此外，在首批垂类模型评审环节，市经信局组织企业开展路演，全程突出应用导向。据 透露，武汉将进一步强化政策支持，助力模型技术加速落地产业化。 26个模型中，既有全国首个脑出血AI大模型、全球显示领域首个具备强推理能力的垂 域大模型，还有国内首个通过生成式人工智能服务备案和深度合成算法备案的"双备案"出版 领域大模型、基于全球首个深度推理与多模态融合大模型开发出的首个工业质检垂类模型 等。 编辑：代婧怡 武汉人工智能研究院院长王金桥介绍，大模型是指利用"大数据＋大算力＋强算法"，通 过海量数据训练得到的具有强大预测、决策和综合处理能力的机器学习模型。这类模型通常 参数规模巨大（数百亿至数万亿参数），能够处理多种模态数据（如文本、图像、音频、视 频等），具备跨模态理解、生成、推理和交互能力。 王金桥介绍，按照应用领域的不同，大模型主要可以分为L0、L1、L2三个层级：L0层 指基础通用大模型，能形成 ...

Core Insights - Zhengzhou aims to leverage scene-driven innovation to establish itself as a national hub for artificial intelligence (AI) development by 2027, with a focus on implementing the "AI +" initiative [1][2] Group 1: Strategic Goals - The plan outlines a "two-step" strategy: by the end of 2025, Zhengzhou will focus on breakthroughs in key technologies such as large models and autonomous driving, aiming to establish 10 innovation platforms and incubate 100 high-growth enterprises [2] - By the end of 2027, the goal is to achieve deep integration of AI technologies across various sectors, creating a vibrant AI ecosystem characterized by active innovation clusters and widespread application scenarios [2] Group 2: Technological Focus - The city will concentrate on developing competitive vertical large models in areas like smart sensors, robotics, and intelligent vehicles, encouraging collaboration between local universities and leading AI firms [3] - There will be an emphasis on overcoming critical technological barriers and enhancing the capabilities of large models in specific sectors such as healthcare and smart manufacturing [3] Group 3: Application Areas - The plan promotes the integration of AI in key industries including healthcare, manufacturing, agriculture, cultural tourism, and public services, with specific initiatives to develop vertical large models tailored to these sectors [4][5][6] - In healthcare, the focus will be on creating high-quality medical datasets and developing AI-driven solutions for prevention, diagnosis, and rehabilitation [4] Group 4: Infrastructure Development - Zhengzhou will enhance its computational power and data infrastructure by advancing major projects like the National Supercomputing Center and establishing a city-wide computational resource scheduling platform [7] - The city aims to build a robust data ecosystem, including industry-specific data repositories and a data trading center to support AI development [7] Group 5: Ecosystem and Investment - The plan includes creating AI industry parks and optimizing the business environment to attract leading AI companies and talent, with a focus on innovation and collaboration [8] - A dedicated AI industry development fund will be established to support early-stage projects and encourage investment in high-growth AI startups [9]

Core Viewpoint - The implementation plan aims to promote the innovative development of artificial intelligence in Liaoning Province, leveraging its strong industrial foundation and diverse application scenarios to create a high-quality development ecosystem for the AI industry [1] Group 1: Implementation Goals - By 2027, Liaoning aims to establish a collaborative AI innovation and application hub led by Shenyang and Dalian, achieving over 5000 PFLOPS computing power and developing more than 300 AI enterprises [2] - The plan includes overcoming over 100 key technologies and nurturing more than 5 leading enterprises in the AI sector, with the core AI industry scale reaching 1000 billion [2] Group 2: Infrastructure Development - Liaoning will optimize the layout of computing resources and promote the construction of computing centers in Shenyang, Dalian, and other regions, encouraging diverse computing structures [2][3] - The establishment of a provincial computing network quality monitoring system and a unified data resource management system is also planned to enhance data sharing and application [3] Group 3: Technological Innovation - The plan emphasizes the need for research in machine learning algorithms and the development of general large models, focusing on key sectors like petrochemicals, healthcare, and marine economy [3][4] - It aims to achieve breakthroughs in foundational theories related to advanced technologies such as quantum computing and generative AI, while also promoting the integration of AI with robotics and industrial software [4] Group 4: Industry Integration - Liaoning seeks to integrate AI technology with traditional industries to facilitate their transformation and upgrade, while also developing new strategic emerging industries [5][6] - The focus will be on creating new pillar industries related to intelligent connected vehicles, AI smartphones, and robotics, as well as enhancing local industry through the application of integrated circuit equipment and new materials [5][6] Group 5: Regional Development - The plan includes the establishment of AI innovation incubation communities and the acceleration of the construction of national AI public computing platforms in Shenyang and Dalian [6] - Various cities in Liaoning will develop demonstration application scenarios in sectors like smart steel, smart mining, and renewable energy, leveraging local industrial clusters [6]