电信科学 ›› 2020, Vol. 36 ›› Issue (5): 145-151.doi: 10.11959/j.issn.1000-0801.2020045

• 运营技术广角 • 上一篇    下一篇

手机终端人工智能关键技术研究

庞涛,丘海华,潘碧莹   

  1. 中国电信股份有限公司研究院,广东 广州 510630
  • 修回日期:2020-01-20 出版日期:2020-05-20 发布日期:2020-05-18
  • 作者简介:庞涛(1977- ),男,中国电信股份有限公司研究院工程师,主要研究方向为大数据应用、人工智能、智能终端技术等|丘海华(1991- ),男,中国电信股份有限公司研究院工程师,主要研究方向为人工智能、AR技术、边缘计算等|潘碧莹(1994- ),女,中国电信股份有限公司研究院工程师,主要研究方向为人工智能、智能终端技术等

Research on artificial intelligence key technologies of mobile terminal

Tao PANG,Haihua QIU,Biying PAN   

  1. Research Institute of China Telecom Co.,Ltd.,Guangzhou 510630,China
  • Revised:2020-01-20 Online:2020-05-20 Published:2020-05-18

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。

关键词: 手机终端, 人工智能, 机器学习, 神经网络模型

Abstract:

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.

Key words: mobile terminal, artificial intelligence, machine learning, neural network model

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