Wedge Workshop Series: Machine Learning

The second workshop in the Wedge Workshop Series 01 at Woodbury School of Architecture was curated by adjunct professor Alastair Stokes and led by Amit Wolf and Jordan Squires in March 2016.

See the first workshop here

In this hands-on workshop, participants developed methods of working with ‘machine learning’ – a technology utilizing artificial intelligence in order to learn behavior – as a formal development tool. Across two days, a method was developed and experimented with to incrementally distort and record salt dough forms, using Autodesk’s ‘123D Catch’ to produce sequential series’ of meshes which could be used as a basis for facilitating machine learning via Dato’s Graph It Artificial Intelligence. In a follow up Workshop, this data will be used to develop tools which can perform smart sculpting operations within Rhinoceros 3D modeling software.

Workshop participants included Jennifer Lara, Fernando Niebla, Ashil Pansuria, Hasam Murad, Prem Mehta, Griselda Rosales, Maria Avigliano, Abdullah Alsanea, Naif Aljohani, Eric Martinez with assistance from Shweta Joshi.

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