Generative Adversarial Networks in a Design Practice


Date Thursday, February 11, 12pm ET

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Description: 

In two thought-provoking presentations, followed by audience discussion, this session will explore Generative Adversarial Networks (GANs), and how they could be leveraged by the design team.  

This presentation is part of the TAP Building Connections Congress 2021: Machine Learning’s Impact on Architecture and Design.

Learning objectives

  • Learn about existing tools and applications that are dramatically reducing the barrier of entry for using machine learning. 
  • Learn the basic premise and operation of GANs. 
  • Learn about GANs’ current strengths and weaknesses as related to creative applications. 
  • Learn how designers might soon incorporate machine learning into how they communicate design intent. rn about existing tools and applications that are dramatically reducing the barrier of entry for using machine learning. 
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 $40  non-member
 $25  member
1.00 LU
  • RIBA

Instructors

  • Thiyagarajan Adi Raman

    Thiyagarajan Adi Raman

    Tech Lead

    As a Tech lead at Sasaki, Raj works with a team of data analysts, statisticians, UX/UI designers...
  • Elizabeth Christoforetti

    Elizabeth Christoforetti

    Founding Principal

    Elizabeth Bowie 
  • Ken Goulding

    Ken Goulding

    Director

    Ken is a principal and serves as director of Sasaki Strategies—a team of analysts, statisticians,...
  • Scott Penman

    Scott Penman

    Design Technologist

    Scott Penman is a multi-disciplinary designer and researcher interested in architecture, emerging...