AI for Design Optimization - Namwoo Kang | Deep Dive скачать в хорошем качестве

AI for Design Optimization - Namwoo Kang | Deep Dive

Explore NarniaLabs: https://www.narnia.ai Connect with Namwoo on LinkedIn:   / namwoo-kang-79347386   In this deep-dive masterclass, Professor Namwoo Kang of the KAIST Smart Design Lab and co-founder of Narnia Labs breaks down how AI is transforming design optimization, solving problems that traditional simulation and surrogate-based optimization can’t handle. He explains why real industrial design problems are high-dimensional, why classical parameterization methods fail, and how generative AI, predictive AI, and optimization AI work together in a unified framework to reduce design complexity through latent-space optimization. Through a detailed case study on automotive wheel design, Namwoo shows: How AI automatically extracts shape features Why dimensionality reduction is the key to fast, robust optimization How 2D → 3D reconstruction enables photorealistic and engineering-valid designs How synthetic CAD data + deep learning enable accurate stress prediction How domain adaptation solves “new product” prediction failures How implicit neural representations enable true 3D optimization with minimal data This is one of the clearest explanations of AI-enabled engineering design, showing real applications, real challenges, and real solutions used by KAIST and Narnia Labs today. ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter - https://x.com/Jousefm2 CONTACT: ———————— If you need help or have any questions or want to collaborate feel free to reach out to me via email: support@jousefmurad.com #ai #designoptimization #cad Disclaimer: Some of these links are affiliate links that make me earn a small commission when you make a purchase at no additional cost. Deep Dive Recorded: Nov, 18th, 2025 - Subscriber Release Count: 43,808