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Efficient analog integrated circuit sizing with GenAIexploring generative diffusion models /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Efficient analog integrated circuit sizing with GenAIby Pedro H. M. Eid ... [et al.].
其他題名:	exploring generative diffusion models /
其他作者:	Eid, Pedro H. M.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xvii, 78 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Analog integrated circuitsComputer-aided design.
電子資源:	https://doi.org/10.1007/978-3-031-87105-4
ISBN:	9783031871054$q(electronic bk.)

Efficient analog integrated circuit sizing with GenAIexploring 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$q(electronic bk.)

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

714247
Analog integrated circuits
--Computer-aided design.

LC Class. No.: TK7874

Dewey Class. No.: 621.3815

Efficient analog integrated circuit sizing with GenAIexploring generative diffusion models /
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