AI for design: Virtual design assistant

Journal article (2019)

Authors

S.-G. Kim Massachusetts Institute of Technology
M. Yang Massachusetts Institute of Technology
Haluk Akay Massachusetts Institute of Technology
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Published Date

2019

Language

English

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Abstract

Engineering faces many wicked problems: irreducibly interdisciplinary with multiple competing objectives, and of such large scale and complexity that will require processes to deeply rely on human insights and power of computation. The resurgence of machine learning offers the possibility for new forms of human/computer collaboration where each fuels hybrid intelligence in complementary ways. A concept of virtual design assistant (VDA) is developed as a platform to bring the hybrid intelligence in solving complex design challenges. A deep learning-based abstraction process is developed to provide VDA a function to extract structured functional requirements from fragmental design specifications and customer needs.