Efficient Analog Integrated Circuit Sizing with GenAI

Exploring Generative Diffusion Models

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

78 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: SpringerBriefs in Applied Sciences and Technology
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783031871047
• Sprache: Englisch
• Erscheinungsdatum: 02.04.2025
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing