Join Microdesk at AIA DC’s District Architecture Center for the Lunchtime Learning: Mahine Learning and Nature of Order with Microdesk’s Architecture Solution’s Specialist, Warren Davis. Much of the discussion around AI and the advancement of technology has channeled fears of job loss and human obsolescence. In architecture, the role of the designer has been largely protected by the creative nature of the work, but the draftsman has seen significant impacts as the labor intensive tasks of production and reproduction have been taken over and made remarkably efficient by modeling software, BIM workflows, immersive digital representations, and a growing kit of niche tools and extensions that automate tedious organizational tasks. This presentation will give a brief overview of these negative impacts, but primarily focus on the benefits of machine learning, a branch of AI, and its potential impacts on the designer.
Highlighting the work of Christopher Alexander, Nikos Salingaros, Cesar Hidalgo and others, Warren will be examining the ways in which data, algorithmic computation and mathematics could give designers a rigorous and testable understanding of aesthetics, not just spatial or administrative efficiency. Attendees will discuss the potential for proving and disproving the intuitions of designers, bringing science to architecture and planning in ways that could profoundly shift our perceptions of order in the build environment.
At the completion of this course, participants will be able to:
- Discuss the current relationship of AI to the architecture industry;
- Describe machine learning methods and consider the efficacy of their outputs.
- Discuss the findings of Christopher Alexander and Nikos Salingaros relating to order and harmony in architecture; and
- Apply the mathematics of architectural order to critique existing designs and envision algorithms that assist and/or generate architectural compositions themselves.
Registration is required. Free for Students, Assoc. AIA, AIA and DAC Members. $25 for Non-Members.
March 6, 2020 | 12:00 – 1:00PM