Board 258: Engineering Design Thinking in the Age of Generative Artificial Intelligence
Author:
Affiliation:
1. University of Texas at Austin
2. University of Illinois Urbana-Champaign
3. Oregon State University
Publisher
ASEE Conferences
Reference22 articles.
1. L. Regenwetter, A. H. Nobari, and F. Ahmed, “Deep Generative Models in Engineering Design: A Review,” Journal of Mechanical Design, Vol. 144, 2022. https://doi.org/10.1115/1.4053859
2. P. Keane, “Generative design comes to Fusion 360,” 2018. https://www.engineering.com/story/generative-design-comes-to-fusion-360
3. PTC, “PTC Adds Artificial Intelligence and Generative Design Capabilities to Enhance and Expand its CAD Portfolio with Acquisition of Frustrum,” 2018. https://www.ptc.com/en/news/2018/ptc-acquires-frustum
4. H. O. Demirel, M. H. Goldstein, X. Li, and Z. Sha, “Human-Centered Generative Design Framework: An Early Design Framework to Support Concept Creation and Evaluation,” International Journal of Human-Computer Interaction, pp. 1-12, 2023. https://doi.org/10.1080/10447318.2023.2171489
5. D. Foster, Generative deep learning: teaching machines to paint, write, compose, and play. O’Reilly Media, 2019.
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