{ "item_title" : "Generative Design AI", "item_author" : [" Nachiket Joshi "], "item_description" : "Joshi's book shows how AI turns engineering design around: engineers state goals and constraints, and computers propose the designs. Its key idea is the generate-evaluate-select loop, with the engineer refining the specification in an outer loop. A single bracket example links all twelve chapters. The first part covers foundations: design representations, optimization methods and topology optimization, with runnable code. The second covers learning to design: surrogate models, Bayesian optimization, VAEs, GANs, diffusion models, physics-informed networks, and quality-diversity search. The third covers practice: language-model design agents, manufacturing constraints, verification and uncertainty, data operations, oversight and ethics, plus four case studies. Throughout, Joshi warns that optimizers exploit flawed models, so results need independent re-checks. His closing rule: specify carefully, generate broadly, evaluate honestly, select thoughtfully, and keep the engineer accountable.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/63/044/554/6630445546_b.jpg", "price_data" : { "retail_price" : "77.00", "online_price" : "77.00", "our_price" : "77.00", "club_price" : "77.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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