Intelligent Computing: The Latest Advances, Challenges, and Future-Reference-Cited by-同舟云学术

Intelligent Computing: The Latest Advances, Challenges, and Future

Published:2023-01 Issue: Volume:2 Page:
ISSN:2771-5892
Container-title:Intelligent Computing
language:en
Short-container-title:Intell Comput

Author:

Zhu Shiqiang¹,Yu Ting¹,Xu Tao¹,Chen Hongyang¹,Dustdar Schahram²,Gigan Sylvain³,Gunduz Deniz⁴,Hossain Ekram⁵,Jin Yaochu⁶,Lin Feng¹,Liu Bo¹,Wan Zhiguo¹,Zhang Ji¹,Zhao Zhifeng¹,Zhu Wentao¹,Chen Zuoning⁷,Durrani Tariq S.⁸,Wang Huaimin⁹,Wu Jiangxing¹¹⁰,Zhang Tongyi¹¹,Pan Yunhe¹¹²

Affiliation:

1. Zhejiang Laboratory, Hangzhou, China.

2. TU Wien, Vienna, Austria.

3. Sorbonne University, Paris, France.

4. Department of Electrical and Electronic Engineering, Imperial College London, London, UK.

5. Department of Electrical and Computer Engineering, University of Manitoba, Manitoba, Canada.

6. Faculty of Technology, Bielefeld University, Bielefeld, Germany.

7. Chinese Academy of Engineering, Beijing, China.

8. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK.

9. National University of Defense Technology, Changsha, China.

10. National Digital Switching System Engineering & Technological R&D Center, Zhengzhou, China.

11. Materials Genome Institute, Shanghai University, Shanghai, China.

12. Zhejiang University, Hangzhou, China.

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 is 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.

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://spj.science.org/doi/pdf/10.34133/icomputing.0006

Reference367 articles.

1. LeCun Y Bengio Y. Convolutional networks for images speech and time series. In: The handbook of brain theory and neural networks . MIT Press: Cambridge MA USA; 1995. vol. 3361 no. 10.

2. Bengio Y Glorot X Understanding the difficulty of training deep feedforward neural networks. Paper presented at: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics; 2010 May 13–15; Chia Laguna Resort Sardinia Italy. p. 249–256.

3. A fast learning algorithm for deep belief nets;Hinton GE;Neural Comput,2006

4. Long short-term memory;Hochreiter S;Neural Comput,1997

5. Ethayarajh K. How contextual are contextualized word representations? Comparing the geometry of bert elmo and gpt-2 embeddings . Paper presented at: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics; 2019. Hong Kong China. p. 55–65.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variable speed rolling force prediction with theoretical and data-driven models;International Journal of Mechanical Sciences;2024-02

2. Management and application of research data in condensed matter science;Chinese Science Bulletin;2024-02-01

3. Overview of XAI for the Development and Modernization of Smart Cities;Advances in Explainable AI Applications for Smart Cities;2024-01-18

4. Transistor-Based Synaptic Devices for Neuromorphic Computing;Crystals;2024-01-09

5. On tacit knowledge management in product design: status, challenges, and trends;Journal of Engineering Design;2024-01-06