Generative Tools in the Middle of Nowhere
How will the role of the architect change in a future of ubiquitous artificial intelligence-driven design tools? How can subjective judgements and qualitative goals be reconciled with quantitatively-driven digital design tools? This session will explore these questions through the lens of multi-objective optimization and demonstrate software workflows to balance project goals that are both aesthetic and quantitative in nature.
Specifically, the team will describe their strategy for leveraging open source tools and integrating them into standard A/E software platforms in order to translate outcomes to the client. Using the 2030 challenge as a benchmark, the team will discuss effective generative strategies for daylighting, passive solar energy, views, design aesthetics, and user experience as deployed on a case study project. In addition, the team will present data gathered from onsite sensors to validate the digital workflow.
The team will also discuss ongoing research that explores the future of generative design in the context of advanced artificial intelligence technologies. Specifically, the application of deep neural networks and other machine learning technologies in architectural design will be discussed as well as the role of the architect in these advanced workflows.