Machine Learning Role in IC Design of VLSI

Abstract

AI has influenced the field of integrated circuits, this being its first application in AI. This technology replaces the traditional VLSI design methodology existing today. Automation of design developments have been implemented by replacing the time-consuming manual design’s generated by humans. This advancement would lead to massive revolution in the area of hardware computation and AI research domain. With the advent of modern chip, which are highly complex, it is a very tedious and slow process to design with humanly aids. Artificial Intelligence (AI) has been playing an increasingly important role in VLSI (Very Large-Scale Integration) design and semiconductor manufacturing. AI technologies are being used to improve the efficiency, accuracy, and performance of various aspects of VLSI design the process of confirming the critical design’s manually also finds no hope. Hence automation of various task is done in past 40 years, and many other complex tasks are automated. When someone comes with a new idea (in view with computation, processing, optimization, interconnect fabrication) the process of designing is automated. Companies such as IBM and Intel are enabled with their own CAD Organization for handling these automated tasks. CAD tools have been sold by many companies such as Cadence, Synopsis and Mentor Graphics serves as implementation of AI in Chip design. Machine learning has extended its arm in aiding feasible solution for many kinds of problems in many engineering fields.