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Efficient analog integrated circuit sizing with GenAI = exploring generative diffusion models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Efficient analog integrated circuit sizing with GenAI/ by Pedro H. M. Eid ... [et al.].
Reminder of title:	exploring generative diffusion models /
other author:	Eid, Pedro H. M.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xvii, 78 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Computational Intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-87105-4
ISBN:	9783031871054

Efficient analog integrated circuit sizing with GenAI = exploring generative diffusion models /
Efficient analog integrated circuit sizing with GenAIexploring generative diffusion models /[electronic resource] :by Pedro H. M. Eid ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvii, 78 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied Sciences and technology. Computational intelligence,2625-3712. - SpringerBriefs in applied Sciences and technology.Computational intelligence..

1 -- Introduction -- 2. State-of-the-art -- 3. Proposed Architectures -- 4. Model Implementation and Optimization -- 5. Experimental Results -- 6. Conclusion and Future Works.

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.

ISBN: 9783031871054

Standard No.: 10.1007/978-3-031-87105-4doiSubjects--Topical Terms:

768837
Computational Intelligence.

LC Class. No.: TK7874

Dewey Class. No.: 621.3815

Efficient analog integrated circuit sizing with GenAI = exploring generative diffusion models /
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