Machine Learning Applications in Electronic Design Automation

Language: English

Published by Springer, Palgrave Macmillan Jan 2024, 2024

3031130766 / 9783031130762

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This item is printed on demand - Print on Demand Titel. Neuware -¿This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover 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 (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 596 pp. Englisch.…

Seller Inventory # 9783031130762

Title
Machine Learning Applications in Electronic Design Automation
Author
Haoxing Ren
Publisher
Springer, Palgrave Macmillan Jan 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031130766
ISBN 13
9783031130762
Item weight
890 grams
Dimensions
235x155x32 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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