04. Trends in AI Based Design Research - Dimensionality Reduction and Field Prediction

Namwoo Kang, CEO of Narnia Labs and Professor at KAIST, breaks down how AI-based performance prediction actually works in engineering design, and why going directly from design to output often fails.
In this session, he walks through the fundamentals of latent space, dimensionality reduction, and field prediction, explaining why the path from design to performance is rarely straightforward, and how structuring that path correctly is what separates useful AI models from ones that don't generalize.
Practical and research-grounded, for engineers and R&D teams building or evaluating AI for product development.

Learn more at 👉 https://www.narnia.ai/

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Видео 04. Trends in AI Based Design Research - Dimensionality Reduction and Field Prediction канала Narnia Labs