A Review of AI and ML Applications for Computing Systems

被引:8
|
作者
Negi, Atul [1 ]
Rajesh, K. [1 ]
机构
[1] Univ Hyderabad, Sch Comp & Informat Sci, Hyderabad 500046, Telangana, India
关键词
PCA; Sparse representations; OCR; segmentation; trust models; Neural Networks; replica selection; fuzzy inference; PERFORMANCE; TRUST;
D O I
10.1109/icetet-sip-1946815.2019.9092299
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Machine Learning and Artificial Intelligence techniques are becoming increasingly useful in various domains. Here we give a review of their application in various computer systems. The ubiquity of applications in AI and ML are fostered by increase in availability of data, advances in computing technology and new robust techniques. Unlike the present trend of Deep Learning approaches here we present techniques that can be applied to variety of applications without huge training data requirements. In this paper, we show how Machine Learning and Artificial Intelligence methods are applied in various domains in computer systems, including those of networks and operating systems.
引用
收藏
页数:6
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