AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra by Immanuel Koh

AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 Dzelzs balva A' Design Award in Ģeneratīvais, algoritmiskais, parametriskais un MI atbalstītais dizains Competition Category.

DzelzsĢeneratīvais· 2025

AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra

by Immanuel Koh

Client: Immanuel Koh

Dzelzs balva A' Design Award Winner in Ģeneratīvais Category

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The Design

About AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra

Grāmatas teksts: Singapūra ir mākslīga pilsēta. Apmācīts ar plašu Singapūrā sastopamo augstceltņu 3D digitālo modeļu datu kopu, pielāgoti izstrādātais MI modelis ģenerē ne tikai formāli ticamas un semantiski saskanīgas konfigurācijas, bet sāk arī iztēloties jaunas un neparastas arhitektūras formas, interpolējot un ekstrapolējot starp standarta augstceltņu mājokļu tipoloģijām, piemēram, plātņu, punkta un kopu blokiem.

The Recognition

About the Dzelzs balva A' Design Award

AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra ir Dzelzs balvas A' Design Award ieguvējs, prestiža atzinība, ko piešķir labiem dizainiem, kas atbilst profesionālajām un rūpnieciskajām prasībām, kādas sagaidāmas no labi izstrādātiem darbiem. Dzelzs ieguvēji parāda to radītāju lielo prasmi, augsto specializāciju, ekspertu izpratni un radošo spēju. Sagaidāms, ka AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra būs augsti vērtēts, apbrīnots un cienīts darbs, praktisks un inovatīvs. Šis ar Dzelzs balvu apbalvotais dizains integrē nozares labāko praksi un tam ir kompetentas tehniskās īpašības, kas saistītas ar zinātību un talantu. AI Sampling Singapore Primārā funkcija: Mājokļu arhitektūra tiek cienīts par rūpību un ir izstrādāts, lai uzlabotu dzīves kvalitāti un palīdzētu padarīt pasauli labāku.

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