AI Ornament


Machine Intelligence in Architecture Workshop
Summer 2021
DigitalFUTURES









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“AI Ornament” investigates on new paths for material intelligence. It leverages the computational power of AI to manage hyperabundant data sets, to generate higher levels of resolution, intricacy, and ornamentation in material design. An AI model was trained on a 100+ image teaching archive of a Hyper-Ornament research in 2020. This dataset was further augmented to a 500+ image data set utilizing machine learning procedures to enhance the training and the variety in resulting the latent space.


Made using machine learning workflows.




Type:               Workshop
Institution:    DigitalFUTURES
Research:      Machine Learning, StyleGAN.



1. Generated images of latent space.
2. StyleGAN model trained on augmented dataset.









CARLOS NAVARRO       BASED IN LOS ANGELES, CA