Machine Learning Meets IC Design -Semiconductor Engineering

Machine Learning (ML) is one of the hot buzzwords these days, but even though EDA deals with big-data types of issues it has not made much progress incorporating ML techniques into EDA tools. Many EDA problems and solutions are statistical in nature, which would suggest a natural fit. So why is it so slow to adopt machine learning technology, while other technology areas such as vision recognition and search have embraced it so easily? "You can smell a machine learning problem," said Jeff Dyck, vice president of technical operation for by Solido Design Automation. "We have a ton of data, but which methods can we apply to solve the problems? That is the hard part. You cannot open a text book or take a course and apply those methods to solve all problems. Engineering problems require a different angle."