摘要
作为智慧学习系统这一人工智能的代表技术,深度学习将受益于计算能力、算法和数据集的进步。而另一种技术是边缘计算技术,它是从传统的云计算技术发展而来的。因传统的云计算模型已经无法有效处理大量的计算任务,新的应用也对数据的实时处理提出了更高的要求,从而使得边缘计算应运而生。
As a representative technology of artificial intelligence, intelligent learning system, deep learning will benefit from the advancement of computing power, algorithms and data sets. The other technology is edge computing technology, which is developed from traditional cloud computing technology. Because the traditional cloud computing model has been unable to effectively hadle a large number of computing tasks, and new applications also put forward higher requirements for real-time data processing, with makes edge computing emerges as the times require.
作者
赵玉超
黄朝阳
ZHAO Yuchao;HUANG Chaoyang(Xiamen Ocean Vocational College,Xiamen Fujian 361100)
出处
《软件》
2022年第11期33-35,共3页
Software
基金
2020年第二批中国高校产学研创新基金“新一代信息技术创新项目”(2020ITA05024)。
关键词
智慧学习系统
人工智能
边缘计算
smart learning system
artificial intelligence
edge computing