AI Sampling Singapore Galuega Autu: Fausaga o Fale by Immanuel Koh

AI Sampling Singapore Galuega Autu: Fausaga o Fale by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Uʻamea in Mamanu Fa'atupu Competition Category.

UʻameaMamanu Fa'atupu· 2025

AI Sampling Singapore Galuega Autu: Fausaga o Fale

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Uʻamea Winner in Mamanu Fa'atupu Category

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The Design

About AI Sampling Singapore Galuega Autu: Fausaga o Fale

Tusitusiga: O Sigapoa o se taulaga faakomepiuta. O le faata'ita'iga AI na faia faapitoa, sa a'oa'oina i se faaputuga tele o faata'ita'iga numera 3D o fale maualuluga o lo'o maua i Sigapoa, e le gata na te faia ni faatulagaga e talafeagai i foliga ma fetaui lelei i uiga, ae ua amata foi ona mafaufau i ni foliga fou ma ofoofogia o fausaga, e fa'aopoopo ma fa'alautele i totonu o ituaiga masani o fale maualuluga e pei o le poloka papa'u, poloka tu, ma le poloka fa'apotopoto.

The Recognition

About the A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai AI Sampling Singapore Galuega Autu: Fausaga o Fale, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina AI Sampling Singapore Galuega Autu: Fausaga o Fale e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai AI Sampling Singapore Galuega Autu: Fausaga o Fale ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Is it possible to sample at scale and at high-resolution every single building ever built in a country? If so, can such a dataset be used to train an AI model in generating new yet locally compliant buildings without any explicit regulatory control inputs? The project explores the design agency of deep generative neural networks in learning three-dimensional exteriority and interiority with a redesigned 3D generative adversarial network (3D-GAN) AI model. Winner of WAFX2024, IDA2024 and BLT2024.
Dimensions & Packaging: This is a digital AI x Architecture project. Each generated output is a new high-rise high-density residential public housing of up to 30 floors.
Tags: AI
Production Technology: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Design Challenge: The non-existence of 3D models and their corresponding floor plans was the first challenge. New workflow and tools had to be developed to not only collect (i.e., digitally and physically), but create (annotate) and curate (i.e., exploratory data analysis) such high quality dataset to train an AI model from scratch. Technically difficult due to the scalability of similar CAD representation which was overcome via a novel AI latent representation of 3D.
Research: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Inspiration: Singapore is an artificial city! Trained with a large dataset of 3D digital models of high-rise buildings found in Singapore, the custom-designed AI model generates not only formally plausible and semantically coherent configurations, but begins to also imagine novel and uncanny architectural forms, interpolating and extrapolating among standard high-rise housing typologies such as the slab, point, and cluster blocks. Project exhibited at Venice Architecture Biennale and Singapore's Arts House.
Project Duration: This is an on-going and longer-term AI x Architecture research being conducted at the university design lab since 2021. It was however only published much later as an official architectural design award entry from 2024 onwards.
Operation Flow: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patents: Currently no patent.
Team Members: Artificial-Architecture
Image Credits: All credits: Artificial-Architecture