Application and possibility of machine learning in integrated circuit design

Abstract

Artificial Intelligence has had an impact on the field of integrated circuits. Artificial Intelligence technology is gradually replacing the traditional methodology of implementing Integrated Circuit tasks, which consumes a lot of time, funding, and labor. Traditionally, electronic products, like chips, which consist of a large number of circuits, were very slow and costly to process, because it was done by humans. The engineers have to design the layout, carry out operations, verify, and test the circuits, and this is actually extremely inefficient and expensive. However, with the help of Artificial Intelligence technology, efficiency can be greatly improved. The algorithms of Artificial Intelligence to a large extent, accelerated the process of designing, detecting, and maintaining the Integrated Circuit. Nowadays, many companies are applying Artificial Intelligence to upgrade their own products. Machine Learning is one of the main branches of Artificial Intelligence, and its powerfulness has provided a lot of help in the Integrated Circuit tasks. This paper discussed and analyzed the application and possibility of machine learning specifically in Integrated Circuit design activities through literature review and data research.