Core Insights - The Ministry of Industry and Information Technology (MIIT) has initiated a special action for "millisecond computing" which is expected to stimulate demand for network equipment and computing infrastructure in the short term, while opening up new opportunities for edge computing and AI applications in the medium to long term [1][2] Group 1: Demand for Computing Infrastructure - The MIIT has set clear requirements for computing infrastructure, emphasizing the need for millisecond interconnectivity (<1ms) between computing centers, resources, and application terminals, which necessitates a significant upgrade of network infrastructure [1] - This upgrade will indirectly drive demand for computing chips, servers, optical modules, and switches, which are critical for network transmission [1] Group 2: Intelligent Computing Network Development - The special action promotes task-based scheduling and the development of intelligent network operations, with edge computing and computing scheduling becoming key components in building an intelligent computing network [2] - Increasing the density of edge computing nodes will allow computing resources to be pushed to the edge of urban networks, supporting AI applications that require access to large cloud models and data [2] Group 3: Acceleration of AI Application Commercialization - The initiative aims to achieve millisecond accessibility for computing applications, which is crucial as AI applications increasingly demand low latency to function effectively [3] - Reducing latency will accelerate the commercialization of AI applications, particularly in scenarios involving large data interactions, enhancing user experience [3] - In the intelligent driving sector, the use of automotive-grade Time-Sensitive Networking (TSN) chips will enable low-latency and high-reliability data transmission, meeting the needs of autonomous driving and complex in-vehicle applications [3]

Core Insights - The CEO of Alibaba Group, Wu Yongming, believes that the realization of Artificial General Intelligence (AGI) is a certainty, marking the beginning of a journey towards the ultimate goal of developing Artificial Super Intelligence (ASI) that can self-iterate and surpass human capabilities [1] Summary by Sections AI Development Stages - Wu outlined a three-stage evolution towards ASI: 1. "Intelligent Emergence": AI acquires generalized intelligence by learning vast amounts of human knowledge 2. "Autonomous Action": AI develops tool usage and programming skills to assist humans, which is the current stage of the industry 3. "Self-Iteration": AI connects with the physical world to achieve self-learning and ultimately surpass human intelligence [1] AI Strategy Implementation - Alibaba Cloud will implement its AI strategy through two core paths: 1. The "Tongyi Qianwen" initiative, which emphasizes an open-source approach aimed at creating the "Android of the AI era" 2. The development of a super AI cloud as the "next-generation computer" to provide a global intelligent computing network [1]

智通财经5月23日电，2025工业互联网大会5月22日在江苏省苏州市开幕。工业和信息化部总工程师谢少 锋出席开幕式并致辞表示，用好人工智能这个"关键变量"，推动工业互联网与人工智能协同赋能、融合 发展。要夯实互联互通基础，高标准实施"5G+工业互联网"512工程升级版、标识"贯通"行动和工业互 联网平台高质量发展行动。要建设高质量工业数据集，在重点行业领域打造一批"高价值、高纯度、高 可用性"的工业语料库和多模态数据集。要推动建设工业领域专业大模型，鼓励基础大模型向工业领域 开源共享。要加快智能算力建设布局，构建"云边端"协同的智能算力网络。要依托工业互联网平台大力 推进人工智能赋能新型工业化，推动工业数据、模型、知识、算法在工业互联网平台加速集聚，提升制 造业数字化网络化智能化水平。 工信部：要加快智能算力建设布局 构建"云边端"协同的智能算力网络 ...