Edited by:
Imed Ben Dhaou, Dar Al-Hekma University, Saudi Arabia, imed.bendhaou@utu.fi
Hannu Tenhunen, University of Turku, Finland, Ahmed Abdelgawad, Central Michigan University, USA, Sree Ranjani Rajendran, Florida Atlantic University, USA, and Rajat Subhra Chakraborty, Indian Institute of Technology Kharagpur, India
This special issue features three works that explore the transformative role of AI in EDA and SoC design, namely Deep Learning and Generative AI for Monolithic and Chiplet SoC Design and Verification, Large Language Models for EDA, and Evaluating LLMs for Automatic RTL Generation for Combinational Circuits via High-Level Synthesis. These works collectively underscore the transformative potential of AI and LLMs in revolutionizing SoC design and EDA workflows. This special issue provides valuable insights for researchers and industry professionals, inspiring further advancements in AI-assisted hardware design and verification.