期刊文献+

手机终端人工智能关键技术研究 被引量:5

Research on artificial intelligence key technologies of mobile terminal
下载PDF
导出
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.
作者 庞涛 丘海华 潘碧莹 PANG Tao;QIU Haihua;PAN Biying(Research Institute of China Telecom Co.,Ltd”Guangzhou 510630,China)
出处 《电信科学》 2020年第5期145-151,共7页 Telecommunications Science
关键词 手机终端 人工智能 机器学习 神经网络模型 mobile terminal artificial intelligence machine learning neural network model
  • 相关文献

参考文献2

共引文献42

同被引文献13

引证文献5

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部