作　　者： ;

机构地区： 中国电信股份有限公司

出　　处： 《电信科学》 2020年第5期145-151,共7页

摘　　要： 随着移动终端软硬件技术的进步,移动终端的机器学习能力得以挖掘。从手机终端人工智能技术整体框架入手,研究了端侧人工智能硬件加速技术,对比了当前主流端侧机器学习框架和神经网络模型压缩等软件技术,分析了AI应用发展趋势,总结了手机终端人工智能技术进展和未来发展趋势。 With the progress of software and hardware technology of mobile terminals, the machine learning ability of mobile terminals has been explored. Starting from the overall framework of mobile terminal artificial intelligence technology, the end-to-end artificial intelligence hardware acceleration technology was studied, mainstream on-device machine learning frameworks, neural network model compression and other software technologies were compared, the development trend of AI application was analyzed, and the current technological progress and future development trend of mobile terminal artificial intelligence were summarized.

关 键 词： 手机终端 人工智能 机器学习 神经网络模型

领　　域： [] []