Abstract
The incorporation of machine learning (ML) methodologies into VLSI computer-aided design (CAD) procedures is gaining prominence owing to its capacity to enhance design efficiency, forecast performance, and diminish time-tomarket. This literature overview examines the advanced machine learning techniques used at many phases of VLSI design. This review synthesizes data from current research articles, emphasizing the strengths, limits, and prospective avenues for machine learning implementations in VLSI CAD.
Published Version
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