{"product_id":"9783031871047","title":"SpringerBriefs in Applied Sciences and Technology: Exploring Generative Diffusion Models","description":"\u003ch1\u003eSpringerBriefs in Applied Sciences and Technology: Exploring Generative Diffusion Models\u003c\/h1\u003e \u003ch2\u003eH. M. Eid, Pedro; P. Azevedo, Filipe; C. C. Lourenço, Nuno; M. F. Martins, Ricardo\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-left: .5in;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: Aptos;\"\u003eThis 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.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-04-02\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031871047\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-87105-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 78\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44521769894028,"sku":"9783031871047","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031871047.jpg?v=1775783473","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031871047","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}