Kyle Steinfeld

Artificialis Releivo

Artificial Relief

Kyle Steinfeld, Titus Ebbecke, Georgios Grigoriadis, & David Zhou

A dataset of fragmented and decontextualized Greco-Roman sculptural relief underlies the generation of uncanny forms that straddle the unrecognizable and the familiar. Samples include those drawn from the Pergamon Altar: a Greek construction originating in modern-day Turkey, disassembled in the late 19th century, and re-assembled in the early 20th century in a Berlin museum. The project operates similarly. It begins with a disassembly of selected sculptural forms into fragments that can be described as deformations of a flat sheet. Where ML processes often struggle to describe three-dimensional form, these "vector displacement maps" are comprehensible to the machine, and serve to train a neural network - a gently modified implementation of StyleGAN - to understand the form-language of the selected source material. Recalling the rhythmic symmetry of frieze patterns found in traditional Western ornament, a "walk" through the latent space of Greco-Roman sculptural forms is aggregated across a surface in high relief.

L'apprenti Sorcier

(The Sorcerer's Apprentice)

Kyle Steinfeld

In a chapter of L'intelligence artificielle au service de l'architecture, edited by Stanislas Chaillou, I argue that while recent developments in artificial intelligence threaten to dislodge some of our basic assumptions about the nature and purpose of computational design tools, creative designers ought to welcome the disruption.

Routledge Companion to Artificial Intelligence in Architecture

Significant Others - Machine learning as actor, material, and provocateur in art and design

Kyle Steinfeld

I was invited to contribute the first chapter of The Routledge Companion to Artificial Intelligence in Architecture, an edited volume that surveys the state of the art in Artificial Intelligence (AI) as it relates to architecture. In this chapter, I sketch out of a number of models for practice that I see emerging in the area of machine-augmented architectural design, each defined in terms of how it situates the use of ML in design differently.

CED Open House 2021

Kyle's Work and Role in the MArch Program

Kyle Steinfeld for the College of Environmental Design, Spring 2021