CESG’s Jiang Hu has a new publication: Machine Learning Applications in Electronic Design Automation by himself and Dr. Haoxing Ren.
This book covers a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing, and design space exploration. The ML techniques covered in this book include classical ML, deep learning models such as convolutional neural networks, graph neural networks, generative adversarial networks and optimization methods such as reinforcement learning and Bayesian optimization.
More information at https://www.barnesandnoble.com/w/machine-learning-applications-in-electronic-design-automation-haoxing-ren/1141727406?ean=9783031130748
