AI for Technology: Applied practices and future perspectives of technological intelligence in high tech areas

Authors

Yunji CHEN, State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, ChinaFollow
Qi GUO, State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

Keywords

AI for Technology, AI for Science, innovation and creation, CPU design

Document Type

Vigorously Promote Scientific Research Paradigm Transform

Abstract

As the core of the fifth research paradigm, AI for Science has been widely used in multiple research fields of natural sciences and high technologies. In contrast to that the application of AI in natural sciences mainly focuses on discovering new theories, principles, and laws, the application of AI in high technologies mainly focuses on creating new plans, tools, and products, in order to resolve concrete problems in related fields. This study first summarizes the typical characteristics and scientific problems of the application of AI in high technologies, i.e., AI for Technology, and then introduces a successful case study of AI for Technology, that is, fully automated CPU design. Finally, this study points out that the main targets of AI for Technology are not only to accelerate the innovation process and thus reduce human investments, but also to endow machines with higher creative abilities than human experts eventually.

First page

34

Last Page

40

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

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Recommended Citation

CHEN, Yunji and GUO, Qi (2024) "AI for Technology: Applied practices and future perspectives of technological intelligence in high tech areas," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39 : Iss. 1 , Article 5.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20231123004
Available at: https://bulletinofcas.researchcommons.org/journal/vol39/iss1/5