AI Sampling Singapore Wasichakuy Llamk'ay by Immanuel Koh

AI Sampling Singapore Wasichakuy Llamk'ay by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Fierru Premiu in Paqariq Kamay Competition Category.

FierruPaqariq· 2025

AI Sampling Singapore Wasichakuy Llamk'ay

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Fierru Premiu Winner in Paqariq Category

60,008

Verified Award Winner

Verify Award Status for #170593

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About AI Sampling Singapore Wasichakuy Llamk'ay

Singapur nisqaqa runa ruwasqa llaqtam. Singapurpi tarikuq hatun sayaq wasikunaq 3D dijital modelokunap hatun datasetninwan yachachisqa, kikinpaq ruwasqa AI modeloqa formapi allin kaq hinaspa significadonpi huk niraq llamk'aykunallatachu ruwan, aswanpas musuq hinaspa mancharikuy wasi formakunata yuyariyta qallarin, sapaq hatun sayaq tiyana niraqkunamanta interpolaspa hinaspa ekstrapolaspa, hina slab, punto, hinaspa cluster blok nisqakunamanta.

The Recognition

About the A' Design Award Fierru Premiu

AI Sampling Singapore Wasichakuy Llamk'ay A' Design Award Fierru Premiu mishak kan, yupaychay, kayta ruray yachak shinallatak industriapak mañaykunata paktachik alli diseñukunaman kun. Fierru mishak kashkakunaka hatun ruray ushayta, hanak yachayta, yachak yuyayta shinallatak ruray kamachiyta rikuchinku. AI Sampling Singapore Wasichakuy Llamk'ay sinchi yupaychashka, kuyashka shinallatak kuyashka ruray, ruranapak alli shinallatak mushuk yuyaypi kanata munanku. Kay Fierru Premiu japishka diseñuka industriapak ashtawan alli ruraykunata tantachin shinallatak yachaywan shinallatak ushaywan tantashka tekniku ushayta charin. Sinchi ruraymanta AI Sampling Singapore Wasichakuy Llamk'ay yupaychashka kan shinallatak kawsayta alliyachik ruraykunata kuypak ruray kan, pachata ashtawan alli kachun ruran.

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