Authors
AI-eXtended Design has been developed at
ETH Zurich
(Gramazio Kohler Research, kfm research) and
Swiss Data Science Center, in affiliation with Design++.
Developers and contributors:
together with:
Acknowledgements
The development of the AIXD toolbox has been supported by:
Projects C20-09 “AI-augmented Architectural Design (AAAD)” (with Gramazio Kohler Research, ETH Zürich) and C21-08 “Domain-Aware AI-augmented Design of Bridges (DAAAD Bridges)” (with kfm Reseach, ETH Zürich), funded through the Swiss Data Science Center call
ETH Foundation grant No. 2020-HS-388 (provided by Kollbrunner/Rodio, received by kfm Research, ETH Zürich),
Additional funds from Design++ Center for Augmented Computational Design in Architecture, Engineering and Construction, Gramazio Kohler Research, and kfmResearch, all at ETH Zürich
We would also like to extend our gratitude to the many users, contributors and collaborators for their valuable insights and discussions that helped improve AIXD. Special thanks to Prof. Caitlin Mueller, Prof. Demi Fang and Vera Balmer.
Finally, we would like to thank the contribution of different students that also investigated different improvements of AIXD. In particular:
Luca Bettermann (worked during his MSc thesis at ETH Zürich): conceived and implemented the two-stages training. The code is already integrated in the AIXD code, but it is not enabled yet.
Araceli Rodríguez Vallejo (worked during his MSc thesis at ETH Zürich): experiments with embeddings and Transformer layer as heads to the Autoencoder model. This code is not integrated yet, but it is an improvement we are currently investigating.