封面(代数)
计算机科学
人工智能
人工神经网络
深度学习
钥匙(锁)
机器学习
航程(航空)
订单(交换)
发生
数据科学
工业革命
深层神经网络
工程类
计算机安全
政治学
历史
法学
经济
航空航天工程
表演艺术
机械工程
艺术史
财务
作者
Rama Chellappa,Sergios Theodoridis,André van Schaik
出处
期刊:Proceedings of the IEEE
[Institute of Electrical and Electronics Engineers]
日期:2021-04-30
卷期号:109 (5): 607-611
被引量:29
标识
DOI:10.1109/jproc.2021.3072172
摘要
We are currently experiencing the dawn of what is known as the fourth industrial revolution. At the center of this historical happening, as one of the key enabling technologies, lies a discipline that deals with data and whose goal is to extract information and related knowledge that is hidden in it, in order to make predictions and, subsequently, take decisions. Machine learning (ML) is the name that is used as an umbrella to cover a wide range of theories, methods, algorithms, and architectures that are used to this end. The articles in this special issue cover promising developments in the related areas of machine learning and deep neural networks and offers possible paths for the future.
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