国务院国资委：聚焦具身智能等领域，建“AI+”产业共同体

Core Viewpoint - The State-owned Assets Supervision and Administration Commission (SASAC) is focusing on advancing the "AI+" initiative in key sectors such as embodied intelligence and energy, aiming to create an "AI+" industrial community and enhance the openness of application scenarios [1][3]. Group 1: Progress in AI Applications - Central enterprises have launched over 1,000 application scenarios in key industries like energy, manufacturing, and telecommunications, utilizing AI for tasks such as power dispatch and fault prediction [3][4]. - The integration of AI in traditional industries is seen as a crucial driver for transformation, with examples including the use of intelligent robots in manufacturing and advanced models in rail transport [3][4]. Group 2: Infrastructure and Computational Power - Central enterprises are actively contributing to the national computing power layout, with significant investments in computational resources, including the establishment of four "ten-thousand card clusters" by major telecom operators [3][4]. - Platforms like "Xirang" and "Computing Network Brain" are being developed to provide standardized computing power services, emphasizing low-cost and high-intelligence solutions [3][4]. Group 3: Model Development and Collaboration - The development of large models is accelerating, with companies like China Mobile and China Telecom enhancing their capabilities and empowering over 200 external units in various sectors [3][4]. - SASAC has initiated the "Renewal Community" to support young entrepreneurs and tech enthusiasts by providing over 2,000 domestic intelligent computing chips and access to a vast array of models and datasets [4][5]. Group 4: Future Directions - The next steps for state-owned enterprises include strengthening investment strategies, focusing on the construction of integrated computing networks, and optimizing data supply in key areas such as transportation, energy, and finance [5]. - The aim is to enhance the quality of industrial development through effective investments and to foster a collaborative environment for AI applications across various sectors [5].