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portada Efficient Analog Integrated Circuit Sizing With Genai: Exploring Generative Diffusion Models (Springerbriefs in Applied Sciences and Technology)
Type
Physical Book
Publisher
Author
Language
English
Format
Paperback
ISBN13
9783031871047

Efficient Analog Integrated Circuit Sizing With Genai: Exploring Generative Diffusion Models (Springerbriefs in Applied Sciences and Technology)

Pedro H. M. Eid; Filipe P. Azevedo; Nuno C. C. Lourenço; Ricardo M. F. Martins (Author) · Springer · Paperback

Efficient Analog Integrated Circuit Sizing With Genai: Exploring Generative Diffusion Models (Springerbriefs in Applied Sciences and Technology) - Pedro H. M. Eid; Filipe P. Azevedo; Nuno C. C. Lourenço; Ricardo M. F. Martins

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Synopsis "Efficient Analog Integrated Circuit Sizing With Genai: Exploring Generative Diffusion Models (Springerbriefs in Applied Sciences and Technology)"

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.

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