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Advancements in AI for Low Power Verification

Advancements in AI for Low Power Verification Artificial intelligence (AI) techniques are transforming low-power verification methods due to the growing complexity of semiconductor designs. These methods, which employ machine learning, substantially enhance integrated circuits' energy efficiency and reliability. The abstract explores the impact of AI-driven low-power verification processes on advanced circuits' performance, energy optimization, and design accuracy. The main emphasis is on these advanced circuits' overall performance, energy optimisation, and design accuracy. Ms. R. Ramya completed her Bachelor of Engineering (B.E.) in Electronics and Communication Engineering in 2010 and a Master’s in Applied Electronics in 2012. She is an assistant professor at K.S. Rangasamy College of Technology and is also pursuing her Ph.D. in information and communication engineering. She has 12 years of academic training and teaching experience. Her research interests lie in image processing, machine learning, deep learning, computer networking, VLSI, and IoT. She is also a life member of the Indian Society for Technical Education (ISTE) and has presented her work at 15 International conferences and Journals.