Advancing VLSI through Machine Learning

Discover the groundbreaking intersection of VLSI and Machine Learning in "Advancing VLSI through Machine Learning" by Abhishek Narayan Tripathi. Set to be published by Taylor & Francis Ltd in 2025, this insightful hardback spans 254 pages and delves deep into how Machine Learning techniques can revolutionize the design and testing of VLSI circuits. Explore innovative applications that enhance power efficiency, optimize layouts, and facilitate the development of novel architectures. This book is an essential resource for professionals and students looking to understand the transformative potential of these technologies. Don't miss the opportunity to stay ahead in the rapidly evolving fields of VLSI and Machine Learning!