信息通信技术与政策2026，Vol.52Issue(3)：14-21,8.DOI:10.12267/j.issn.2096-5931.2026.03.003
智能终端AI计算技术的路径与挑战
AI computing technologies for intelligent terminals:paths and challenges
毕然 1李枫秋 1葛坚 2黄雍涛1
作者信息
- 1. 中国信息通信研究院安全研究所,北京 100191
- 2. 中国信息通信研究院技术与标准研究所,北京 100191
- 折叠
摘要
Abstract
With the migration of artificial intelligence(AI)technologies toward the edge,intelligent terminals are evolving from cloud service access devices into computing nodes with local intelligence capabilities.This paper systematically sorts out the development path of intelligent terminal AI computing technologies,analyzing its evolutionary trajectory from cloud-based inference to edge-side inference,from lightweight models to the deployable large models,and from single-point optimization to system-level collaboration.It summarizes core optimization technologies including model compression,compilation optimization,hardware acceleration and system-level energy efficiency management,and discusses key challenges such as edge-friendly model paradigms,unified compilation and runtime systems,AI-native operating systems,and local intelligent agent construction,providing a useful reference for research and industrial practices in this field.关键词
智能终端/端侧人工智能/边缘计算/模型压缩/低功耗计算Key words
intelligent terminals/on-device artificial intelligence/edge computing/model compression/low-power computing分类
信息技术与安全科学引用本文复制引用
毕然,李枫秋,葛坚,黄雍涛..智能终端AI计算技术的路径与挑战[J].信息通信技术与政策,2026,52(3):14-21,8.
