•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

artificial intelligence; computing power space; data space; cyberspace; intelligent space; reconfiguration and reconstruction

Document Type

Strategy & Policy Decision Research

Abstract

The Information Science & Technology in China: A Roadmap to 2050 and Information Technology: Accelerating the Integration of Human Machine Things have predicted the long-term development of China’s information technology field. This study reviews the development and changes in the field of information technology in the past 15 years, and compares them with the initial predictions, pointing out that some important judgments made at the beginning were in line with expectations. In recent years, the global development of information technology has entered a slow period, while the rapid evolution of the new generation of artificial intelligence will bring new opportunities for the reconfiguration and reconstruction of the information technology system in the next 10 years, and will accelerate the innovation process of the information technology system. This study systematically analyzes the technological system reconfiguration and reconstruction of computing technology, data space, network space, and intelligent space, points out challenging issues, and proposes development strategies.

First page

149

Last Page

161

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 中国科学院信息领域战略研究组. 中国至2050年信息科技发展路线图. 北京: 科学出版社, 2009. Strategic Research Group in Information Field, Chinese Academy of Sciences China’s Roadmap for Information Technology Development to2050. Beijing:Science Press, 2009.

2 李国杰. 信息科技:加速人—机—物三元融合// 中国科学院. 科技发展新态势与面向2020年的战略选择. 北京: 科学出版社, 2013.Li G J. Information Technology: Accelerating the Ternary Integration of Human-Machine-Object// New Trends in Scientific and Technological Development and Strategic Choices for 2020. Beijing: Science Press, 2013.

3 Hills G, Lau C, Wright A, et al. Modern microprocessor built from complementary carbon nanotube transistors. Nature, 2019, 572: 595-602.

4 Si J, Zhang P P, Zhao C Y, et al. A carbon-nanotube-based tensor processing unit. Nature Electronics, 2024, 7(8): 684-693.

5 Yang Z Y, Wang T Y, Lin Y H, et al. A vision chip with complementary pathways for open-world sensing. Nature, 2024, 629: 1027-1033.

6 Lee D, Hyun B, Kim T, et al. PIM-MMU: A memory management unit for accelerating data transfers in commercial PIM systems. arXiv, 2024, doi: 10.48550/arXiv.2409.06204.

7 Jouppi N, Kurian G, Li S, et al. TPU v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings// Proceedings of the 50th Annual International Symposium on Computer Architecture,Tokyo: Sigarch, 2023, doi: 10.1145/3579371.358935.

8 罗洪斌, 张珊, 王志远, 等. 对互联网体系结构创新的认识与思考. 电子学报, 2024, 52(4): 1411-1420. Luo H B, Zhang S, Wang Z Y, et al. Understanding and thinking about the innovation on Internet architecture. Acta Electronica Sinica, 2024, 52(4): 1411-1420. (in Chinese)

9 Huh M, Cheung B, Wang T Z, et al. The Platonic representation hypothesis. arXiv, 2024, doi: abs/2405.07987v5.

10 Li Y X, Michaud E J, Baek D D, et al. The geometry of concepts: Sparse autoencoder feature structure. arXiv, 2024, doi: abs/2410.19750v1.

Share

COinS