当今世界各国大力发展以算力、算法、算据为核心的先进计算，针对高端算力受限与产业链安全双重压力，围绕高校人工智能人才培养中计算资源少、学科壁垒深、与社会需求脱节等关键问题，提出“自主先进计算、服务国家战略、对接产业需求”的人工智能微专业建设创新路径，具体阐述如何联合华为等企业共建人工智能微专业，基于昇腾、MindSpore等自主先进计算平台构建国产算力生态图谱及能力图谱，重构人工智能“基础—算法—芯片—应用”的微专业本硕一体模块化课程，通过具体实践说明该路径能够跨校跨专业培养学生，赋能传统产业升级。

Countries worldwide are now racing to advance computing centered on computing power,algorithms and data.Facing the dual pressures of restricted access to high-end computing power and fragile supply-chain security,and addressing key issues in the cultivation of artificial intelligence (AI) talents in universities such as insufficient computing resources,deep disciplinary barriers,and disconnection from social demands,an innovative path characterized by "independent advanced computing,serving national strategies,and aligning with industrial demands" has been proposed.In collaboration with enterprises like Huawei,joint efforts have been made to establish AI micro major.Based on independent advanced computing platforms such as Ascend and MindSpore,the ecosystem graph and capability graph of domestic computing power have been constructed,and a modular undergraduate-postgraduate integrated curriculum for the AI micro major,covering the "foundation-algorithm-chip-application" chain,has been restructured.After three years of exploration and practice,students from fields including materials science,automotive engineering,and agriculture have been cultivated through cross-university and cross-major programs,empowering the upgrading of traditional industries.