Intelligent Computing: The Latest Advances, Challenges and Future
Abstract
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.
Cite
@article{arxiv.2211.11281,
title = {Intelligent Computing: The Latest Advances, Challenges and Future},
author = {Shiqiang Zhu and Ting Yu and Tao Xu and Hongyang Chen and Schahram Dustdar and Sylvain Gigan and Deniz Gunduz and Ekram Hossain and Yaochu Jin and Feng Lin and Bo Liu and Zhiguo Wan and Ji Zhang and Zhifeng Zhao and Wentao Zhu and Zuoning Chen and Tariq Durrani and Huaimin Wang and Jiangxing Wu and Tongyi Zhang and Yunhe Pan},
journal= {arXiv preprint arXiv:2211.11281},
year = {2024}
}