SpringerBriefs in Applied Sciences and Technology: Exploring Generative Diffusion Models

H. M. Eid, Pedro; P. Azevedo, Filipe; C. C. Lourenço, Nuno; M. F. Martins, Ricardo

This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced machine learning models into the design workflow, the book showcases a transformative way to streamline the process while maintaining accuracy and reliability.

Details

Published by: Springer

Publication Date: 2025-04-02

Format: Paperback

ISBN-13: 9783031871047

DOI: 10.1007/978-3-031-87105-4

Dimensions: 235cm x155cm

Pages: 78