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机器人研发如何提速?中兴通讯苗伟:广东要建立国家级训练场
2 1 Shi Ji Jing Ji Bao Dao·2025-07-11 07:49

Core Viewpoint - The development of artificial intelligence and robotics in Guangdong requires a coordinated effort in talent, computing resources, and ecosystem support, with a focus on overcoming existing shortcomings in open-source data and reliance on imported components [1][2]. Group 1: Artificial Intelligence Development - Guangdong should enhance support for companies that actively contribute to open-source AI models, addressing the current shortfall in open-source initiatives [2]. - The establishment of a collaborative innovation center for AI and robotics is essential to lower the barriers for technology transfer and foster a more integrated development model [1][2]. Group 2: Robotics Industry - There is a pressing need for a national-level robotics training facility in Guangdong to facilitate the development and testing of high-end robots in realistic environments [1][2]. - Over 80% of core components for robotics, such as harmonic reducers and high-precision sensors, are still imported, highlighting the need for local innovation and production capabilities [1]. Group 3: Computing Infrastructure - The digital infrastructure, particularly in computing power, is critical for the growth of AI-related industries, with a goal for Guangdong to achieve 65% self-sufficient high-performance computing power by around 2027 [2]. - The establishment of a dedicated "computing power development fund" is recommended to support projects utilizing various domestic chip and server technologies [2]. Group 4: Data Utilization - To address the challenge of insufficient data for AI training, Guangdong should create a large-scale industry information database in collaboration with cities like Guangzhou, Shenzhen, and Dongguan, drawing on successful experiences from Shanghai [2][3]. - The proposal for a "Guangdong-Hong Kong-Macao Industrial Big Data Sharing Platform" aims to unlock the potential of data as a new resource for industry [3].