Digital Integrated Circuit Design Automation Based on Artificial Intelligence
- DOI
- 10.2991/978-94-6463-864-6_6How to use a DOI?
- Keywords
- VLSI; EDA; LCMs; DL models
- Abstract
Digital integrated circuit (IC) design is a laborious and intricate process that involves many processes of differing complexity. It takes a lot of time and increases the possibility of mistakes when done by hand, especially for inexperienced designers, from specification to layout and verification. A new design automation framework is needed to address the growing complexity of digital integrated circuit design. In order to maximize the burden associated with engineering design, people also want sophisticated artificial intelligence-driven technologies. Thus, the research topic of this article is that “Digital Integrated Circuit Design Automation Based on Artificial Intelligence”. This article argues and discusses various ways to achieve digital integrated circuit design automation from the perspective of digital integrated circuit design automation and digital integrated circuit design automation based on artificial intelligence. As a result, different methods have their own advantages, and there are also some future directions for AI/ML in VLSI. The digital integrated circuit automation based on artificial intelligence still holds significant potential for further development.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhuowei Kang PY - 2025 DA - 2025/10/23 TI - Digital Integrated Circuit Design Automation Based on Artificial Intelligence BT - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025) PB - Atlantis Press SP - 41 EP - 50 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-864-6_6 DO - 10.2991/978-94-6463-864-6_6 ID - Kang2025 ER -