Director of Artificial‐Architecture at the Singapore University of Technology and Design (SUTD), Hokkien Foundation Career Professorship recipient Immanuel Koh enlightens us on the wonderful world of deep neural networks, formal plasticity and what they could mean for architectural form‐finding.
The analogue differentiation between figure and ground has long been a given in architectural design. Challenging this, Immanuel Koh's doctoral research at the École Polytechnique Fédérale de Lausanne in Switzerland involves digitally decomposing existing designs into discrete figure‐and‐ground cells. These can then generate new configurations with similar spatial features to the iconic structures they derive from: Walter Gropius's 1926 Bauhaus building in Dessau, Mies van der Rohe's 1929 Barcelona Pavilion, and Andrea Branzi's 1969 No‐Stop City. He reflects on precursors to his work and on its relevance to architecture's future.
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