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AI/ML algorithms and applications in VLSI design and technology 1 Introduction 1 Existing Reviews 2 Brief on VLSI Design Flow 3 Brief on AI/ML algorithms 4 Supervised Learning 4 Unsupervised Learning 5 Semi-supervised Learning 5 Reinforcement Learning 5 Deep Learning 5 AI at the Circuit Simulation 6 DEVICE LEVEL 6 GATE LEVEL 6 CIRCUIT LEVEL 8 RTL level 8 POST LAYOUT SIMULATION 9 AI in Architectures 10 Memory Systems 10 Systolic Arrays 11 AI at the SOC 12 AI in Physical design 13 AI for Partitioning, Floor planning and Placement 13 AI for Clock Tree Synthesis(CTS) 14 AI for Routing 15 AI in Manufacturing 16 AI for Lithography 16 At Mask Synthesis 16 At Mask Verification 18 Reliability Analysis 19 Yield Estimation and Management 20 AI at Testing 21 Functional Verification 21 Fault Diagnosis 21 Scan Chain Diagnosis 22 Sources of Training data for AI/ML-VLSI 22 Challenges and Opportunities for AI/ML in VLSI 24 Declaration of Competing Interest 25 Data availability 25 References 25

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UND

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nonfiction