Hosted by adjunct professor Alastair Stokes and taught by professor Amit Wolf and Jordan Squires in the Wedge Gallery and Digital Fabrication Lab at Woodbury School of Architecture in Los Angeles, this workshop will explore the possibilities of mining and interpreting the data-heavy digital drawings and models of architecture students.
You will be introduced to Autodesk’s 123D Catch 3D imaging software, 3D printing, and GraphLab Create – Dato’s sophisticated machine learning software. The goal is to bridge the gap between 3D scans of 3D printed objects and their 3D plan mesh.
Woodbury School of Architecture students from both Los Angeles and San Diego are welcome to participate. This is a free workshop. Spots are limited and first come, first serve – so make sure to secure your spot early.
Amit Wolf is an architect, a writer and a curator. Wolf taught at Woodbury University, UCLA, and SCI-Arc. He is a frequent participant in design reviews, lectures, and colloquia at institutions across the United States and Italy. Wolf is the recipient of the 2012 California Interdisciplinary Consortium of Italian Studies Award and the 2013 Graham Foundation for Advanced Studies in the Fine Arts.
Wolf teams up with Dato, the Seattle-based machine learning software group. Datadraw builds on the data-driven output produced by the architect. Exploring Dato’s toolkit, the architect’s data-mesh is used to train different machine learning models, from dedicated neural networks to Deep Learning classifiers, in order to parse out varied conditions, such as surface tessellation, decor and affect, apertures and mass to ground relations.