Artificial Intelligence in Electronic System Design Automation
Keywords:
Artificial Intelligence, Design Automation, Machine Learning, ESDA, InnovationAbstract
The integration of Artificial Intelligence (AI) in Electronic System Design Automation (ESDA) has transformed the landscape of electronic engineering. This paper explores the role of AI in automating the design process, enhancing efficiency and reducing time-to-market. By leveraging machine learning algorithms and AI-driven tools, the study highlights significant improvements in design quality and innovation. The paper discusses the implications of these advancements for the future of electronic system design.
This is a preliminary version. To read the full version of the article, please purchase a subscription.
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).
Stall, K. (2025). Managing Productivity in Sheet-fed Offset Printing: An IIoT Comparative Study of a Retrofitted Heidelberg Legacy Printing Press Versus the Latest Model. Management and Production Engineering Review.
Stall, K. (2025). EMBRACING INDUSTRY 5.0: HUMAN-CENTRIC DESIGN OF IIoT ENABLED DIGITAL TWINS IN THE PRINTING INDUSTRY. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, (223).
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.
Абдусаматов, К. Б., Болотов, Т. Т., & Лапасов, Д. И. (2025). СВОЙСТВО ТЕПЛОПРОВОДНОСТИ ГАЗОБЕТОНА, ИЗГОТОВЛЕННОГО ИЗ ПРОМЫШЛЕННЫХ ОТХОДОВ. ВЕСТНИК НАУКИ ЮЖНОГО КАЗАХСТАНА, (3), 7-12.
Alfimov, I. (2025). Intelligent load management in dynamic power systems with a high share of RES and small modular reactors. Machinery & Energetics, 16(4).