AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê by Immanuel Koh

AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 Xelata A' Design Award a Hesinîn in Dîzayna Afirandî, Algorîtmîk, Parametrîk û bi Alîkariya AI-ê Competition Category.

HesinAfirandî· 2025

AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê

by Immanuel Koh

Client: Immanuel Koh

Xelata A' Design Award a Hesinîn Winner in Afirandî Category

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The Design

About AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê

Deqa Pirtûkê: Sîngapor bajarekî çêkirî ye. Modela AI ya bi taybetî hatî dîzaynkirin, ku bi komeke mezin ji modelên dîjîtal ên 3D yên avahiyên bilind ên ku li Sîngaporê têne dîtin hatî perwerdekirin, ne tenê veavakirinên ku ji aliyê formî ve guncan û ji aliyê watayê ve hevgirtî diafirîne, lê dest pê dike ku formên mîmarî yên nû û seyr jî bixeyale, di navbera tîpolojiyên standard ên niştecîbûna bilind de wek blokên teht, xal û komê navberî û derveyî datîne.

The Recognition

About the Xelata A' Design Award a Hesinîn

AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê xelatgirê Xelata A' Design Award a Hesinîn e, nasîneke bi prestîj ku ji sêwiranên baş re tê dayîn, yên ku pêdiviyên pîşeyî û pîşesaziyê yên ku ji afirandinên baş hatine sêwirandin têne hêvîkirin tînin cih. Xelatgirên Hesinînê jêhatîbûna mezin, pisporiya bilind, têgihiştina pisporî û kapasîteya afirîner a afirînerên xwe nîşan didin. Tê hêvîkirin ku AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê afirandineke pir hatiye rêzgirtin, sitayişkirin û delal, pratîkî û nûjen be. Ev sêwirana bi Hesinînê serketî pratîkên çêtirîn ên pîşesaziyê yekgirtî dike û xwedî taybetmendiyên teknîkî yên jêhatî ye ku bi zanîn û jêhatîbûnê ve girêdayî ne. AI Sampling Singapore Erkî Sereke: Endazyariya Avahiya Niştecîbûnê ji ber baldariya xwe tê rêzgirtin û hatiye sêwirandin da ku kalîteya jiyanê baştir bike û alîkariya çêtirkirina dinyayê bike.

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