چکیده مقاله
Artificial Intelligence AI has emerged as a transformative force in VLSI and integrated circuit IC design, offering new approaches to overcome the increasing complexity of modern electronic systems This review highlights the integration of AI techniques such as machine learning, deep learning, reinforcement learning, evolutionary algorithms, and generative models into various stages of the design process, including placement, routing, performance prediction, fault detection, verification, and hardware security The opportunities provided by AI include automation of design flows, multi objective optimization, improved energy efficiency, and enhanced reliability, all of which contribute to reducing design time and cost At the same time, significant challenges remain, such as limited availability of high quality datasets, high computational requirements, lack of interpretability, and security vulnerabilities The paper further discusses future research directions, emphasizing the importance of data efficient learning, explainable AI, secure design frameworks, and hardware AI co design Overall, AI is rapidly evolving from a supportive tool to a central enabler in VLSI and IC design, paving the way toward intelligent, adaptive, and sustainable semiconductor technologies
کلیدواژهها
نویسندگان
Mohammadhosein Azamirad
Department of Computer, May C , Islamic Azad University, Maybod, Iran
Soorena Zohoori
Department of Electronic and Electrical Engineering, University College London, London WC۱E ۷JE, UK
شیوه ارجاع
Azamirad, Mohammadhosein and Zohoori, Soorena,1404,Artificial Intelligence in VLSI and Integrated Circuits: Opportunities and Challenges,Conference on Artificial Intelligence in Emerging Economies and Digital Businesses (AIEEDB),Yazd
ارائهشده در
مجموعه مقالات کنفرانس هوش مصنوعی در اقتصادهای نوظهور و کسب وکارهای دیجیتال21 آبان 1404 · یزد