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17-25 October 2026

Algorithmic Aided Landscaping

An exploration of post-anthropocentric city building.

Hosted by XAARCHIVE

This project is now archived and was part of DDW22

Event type

Exhibition

Epoc Iteration number 30
Epoc Iteration number 30
Xaarchive Studio
We believe city-making should not be a human-centered practice and that there is a lot to learn from topological formations and natural systems mediated by biological intelligence. In this series, we explore Artificial Intelligence as a form of co-authorship in large-scale projects.

Project Site: Salta, Argentina

In Landscaping, mountainous terrain is usually the opposite of highly urbanized centers. Due to its irregular terrain, high intervention costs, compact soil mass its normally one of the most expensive urban projects to develop. How does this intertwine if we think about a mountainous land in one of the least urbanized areas of Argentina? This is how Salta drew our attention as a project site research.

Algorithmic Aided Design

We trained an artificial intelligence network [GAN] with a series of aerial images of the region of Salta, Argentina and we re-scripted the code that relates them to understand what logic emerges from these topological formations and how they could affect the construction of urban sites. This region of our home country is not yet a highly urbanized region, it rather lacks in human-made and abounds in non-human made processes. We find it particularly interesting for the development of high-intelligence low-waste projects.
Epoc Iteration number 21
Epoc Iteration number 21
Xaarchive Studio
Epoc Iteration number 02
Epoc Iteration number 02
Xaarchive Studio
Elevation of an Ai generated Landscape
Elevation of an Ai generated Landscape
Xaarchive Studio
Landscape dataset for training, Salta, Argentina
Landscape dataset for training, Salta, Argentina

About XAARCHIVE

XAARCHIVE is an interdisciplinary studio founded in 2020 that works with technological development in the areas of Design and Architecture. Through data gathering and management we aim to re-construct our relationship with nature and the non-human. We believe in multiplicity as a form of design and equally value biological, artificial and human intelligence.