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Autonomous Algorithmic Architects: Wicked Problems of Machine Learning in Architecture

Author(s):
Medium: journal article
Language(s): English
Published in: Architectural Design, , n. 3, v. 94
Page(s): 118-127
DOI: 10.1002/ad.3063
Abstract:

AI is developing at breakneck speed, with generation after generation of software/algorithms swiftly and exponentially appearing in a matter of months of each other. Associate Dean and Professor Adjunct at the Yale School of Architecture Phil Bernstein, an expert in architectural practice and technology, lucidly examines the way the profession has responded to previous digitally enhanced design techniques, and how future uptake of AI technology will affect the workflow, form finding, optimisation and anatomy of the discipline.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/ad.3063.
  • About this
    data sheet
  • Reference-ID
    10787437
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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