说明
This session will unlock a new way to think about materials: not just by catalog or spec, but through exploration—powered by artificial intelligence (AI)—that connects design vision to sustainable, actionable outcomes. Using tools like image generation (Stable Diffusion) and large language models, we’ll demonstrate how visual intent can be translated into material options that align with performance goals and project constraints. By integrating carbon data and cost analysis into early design conversations, this workflow enables informed decisions at the concept stage—where they matter most. This isn’t about inspiration boards or aesthetics alone; it’s about shaping the future of design through data-rich visual synthesis. Whether you're developing prototypes, running simulations, or selecting finishes, this session will empower you to make smarter, more sustainable material choices—faster. Discover how AI can bridge creativity and constraints, and turn your vision into optimized, buildable reality.
主要学习内容
- Learn how to use generative AI to bridge creative concepts with material databases.
- Learn how to assort and filter materials based on embodied carbon and cost metrics.
- Learn about connecting early visual design exploration with energy simulation outcomes.
- Learn about developing rapid, responsible design iterations using AI exploration.