认知计算
计算机科学
终端用户计算
大数据
数据科学
智能决策支持系统
市场营销与人工智能
范围(计算机科学)
自主计算
软计算
人类智力
情感计算
计算智能
云计算
人工智能
效用计算
认知
人工神经网络
云安全计算
操作系统
神经科学
程序设计语言
生物
作者
Shiqiang Zhu,Yasuyuki Takata,Tao Xu,Hongyang Chen,Schahram Dustdar,Sylvain Gigan,Deniz Gündüz,Ekram Hossain,Yaochu Jin,Feng Li,Bo Liu,Zhiguo Wan,Ji Zhang,Zhao Zhang,Wentao Zhu,Zuoning Chen,T.S. Durrani,Huaimin Wang,Jiangxing Wu,Tong‐Yi Zhang,Yunhe Pan
出处
期刊:Cornell University - arXiv
日期:2022-11-21
标识
DOI:10.48550/arxiv.2211.11281
摘要
Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing. Intelligent computing is still in its infancy and an abundance of innovations in the theories, systems, and applications of intelligent computing are expected to occur soon. We present the first comprehensive survey of literature on intelligent computing, covering its theory fundamentals, the technological fusion of intelligence and computing, important applications, challenges, and future perspectives. We believe that this survey is highly timely and will provide a comprehensive reference and cast valuable insights into intelligent computing for academic and industrial researchers and practitioners.