The Role of AI in Enhancing Circuit Design Automation

Authors

  • Cameron Collins
  • Taylor Jackson
  • Rowan Thompson

Keywords:

Artificial Intelligence, Circuit Design, Automation, EDA, Machine Learning

Abstract

Artificial Intelligence (AI) is revolutionizing circuit design automation by introducing novel algorithms and methodologies. This paper reviews state-of-the-art AI techniques utilized in electronic design automation (EDA), emphasizing their impact on design efficiency and accuracy. By integrating AI, engineers can significantly reduce design time while maintaining high precision. The study presents case studies where AI has been successfully applied, leading to substantial improvements in design workflows.

Author Biographies

Cameron Collins

PhD
University of Toronto
27 King's College Cir, Toronto, ON M5S, Canada

Taylor Jackson

PhD
University of Tokyo
7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan

Rowan Thompson

PhD
University of Melbourne
Parkville, Melbourne, VIC 3010, Australia

References

STALL, K. (2025). MANAGING CIRCULAR ECONOMY IN SHEET-FED OFFSET PRINTING. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, (237).

Sanandaji, M. M., Ebrahimzadeh, D., Haider, M. I., Banad, Y. M., Poleksic, A., & Ding, H. (2026). Machine learning model for predicting surface wettability in laser-textured metal alloys. arXiv preprint arXiv:2601.11661.

Sanandaji, M. M., Mollick, R., Ratner, A., & Ding, H. (2025). Laser-enabled organic coating for sustainable PFAS-free metal surfaces. Manufacturing letters, 45, 8-12.

Published

2026-03-18

Issue

Section

Articles