Matias del Campo
This lecture provides an overview over some of the theoretical aspects of AI and architecture. How to define an Artificial Intelligence? How do Neural Networks perceive our world, how do they learn? In this lecture Matias del Campo provides some thoughts on the ontology of Artificial Neural Networks, and their relationship to architectural production. Oscillating between aspects of wicked problems (aesthetics, agency, authorship, inspiration, creativity) and tamed problems (analysis, feature recognition, prediction) this lecture paints a picture as of how architecture might operate in a posthuman design environment.
Videos and images used in this lecture:
1. Artist Mario Klingemann on Artificial Intelligence, Technology and our Future
By Martin Dean – Sotheby’s 2019
2. Gene Kogan
A random traversal through the latent space of a StyleGAN trained on 100,000 paintings from WikiArt, where each frame contains two images whose latent codes are antipodes (right Z = -1 * left Z).
3. Alice & Bob experiment, Facebook Artificial Intelligence Research Unit 2017
4. Alphago Documentary 2017
5. Paris streets in the eyes of Tesla Autopilot – Tesla 2018
6. X. Luo, H. Li, D. Cao, F. Dai, J. Seo, S. Lee, Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks, Journal of Computing in Civil Engineering, 32 (2018) 04018012.
7. SRI International – Geospatial World – Future of Construction Industry: Artificial Intelligence
8. Farm Forward with John Deere – John Deere 2019
9. Image Classification using a Convolutional Neural Network – Deep Learning in Python. Mariana Moreira de Carvalho, Imman Suleiman
10. Database Labeling, Mariana Moreira de Carvalho, Imman Suleiman
11. Deep Dreaming, Mariana Moreira de Carvalho, Imman Suleiman
12. Vincent van Gogh self-portrait Deep Dream – Karel Mesdagh
13. SPAN Imaginary Maps – City on the Moon, 2018
14. Babylonian clay table city plan for Nippur, 1500 B.C. Museum of Archaeology and Anthropology University of Pennsylvania
15. Robot Garden Video, Levi Hutmacher, Univeristy of Michigan 2021
#artificial_intelligence #machine_learning #architecture #design #culture #theory #machinehallucinations #deep_learning #style_transfer #machine_vision #agency #authorship #sensibility #machinesensibility #neural_architecture
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