ML-based EDA from Research to Production

In recent years, many research papers proposed machine learning (ML) techniques to address different kinds of problems in electronic design automation (EDA) fields. However, compared to the leap of ML-based research, there are several challenges and concerns to make the production of ML-based solution difficult for industrial usage. In this talk, the speaker would like to share his opinion about the concern of adopting ML-based solution into commercial EDA tools, and then suggested how make EDA engineers comfortable for the technology adoption.