About this ebook
AI-Powered Electronic Design Automation: A Practical Guide to Smarter Chip Design offers a clear, practical introduction to the rapidly evolving intersection of artificial intelligence, machine learning, and electronic design automation (EDA). Written for engineers, students, researchers, and technology professionals, this guide explains how AI is transforming semiconductor development, from architecture and logic synthesis to physical design, verification, testing, and optimization. Explore how machine learning can improve design-space exploration, automate repetitive engineering tasks, identify defects, optimize power, performance, and area (PPA), and accelerate time to market. The book also examines important concepts such as chip design workflows, intelligent automation, data-driven modeling, reinforcement learning, generative approaches, verification strategies, and the challenges of deploying AI in real-world EDA environments. Whether you are building expertise in semiconductor engineering, exploring AI-assisted VLSI design, or seeking practical insight into next-generation chip development, this book provides an accessible foundation and actionable perspective. It connects core EDA principles with emerging AI techniques, helping readers understand both the opportunities and limitations of smarter design tools. Ideal for professionals and learners interested in artificial intelligence, integrated circuits, VLSI, semiconductor technology, hardware engineering, and chip design, this practical guide shows how AI-powered EDA can support faster innovation and more efficient electronic systems.
AI-Powered Electronic Design Automation: A Practical Guide to Smarter Chip Design offers a clear, practical introduction to the rapidly evolving intersection of artificial intelligence, machine learning, and electronic design automation (EDA). Written for engineers, students, researchers, and tec...
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About the author
KM Khushaboo is an author focused on the evolving relationship between artificial intelligence, electronic design automation, and semiconductor engineering. Through practical and accessible technical writing, KM Khushaboo explores AI-assisted chip design, VLSI workflows, hardware optimization, verification, and intelligent automation. This work is intended to help engineers, students, researchers, and technology professionals understand emerging tools and methods for developing smarter electronic systems.
KM Khushaboo is an author focused on the evolving relationship between artificial intelligence, electronic design automation, and semiconductor engineering. Through practical and accessible technical writing, KM Khushaboo explores AI-assisted chip design, VLSI workflows, hardware optimization, ve...
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