AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur by Immanuel Koh

AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award in Yster in Generatiewe, Algoritmiese, Parametriese en KI-Ondersteunde Ontwerp Competition Category.

YsterGeneratief· 2025

AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur

by Immanuel Koh

Client: Immanuel Koh

A' Design Award in Yster Winner in Generatief 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 Primêre Funksie: Behuisingsargitektuur

Boekteks: Singapoer is 'n kunsmatige stad. Die pasgemaakte KI-model, opgelei met 'n groot datastel van 3D-digitale modelle van hoëgeboue wat in Singapoer gevind word, genereer nie net formeel geloofwaardige en semanties samehangende konfigurasies nie, maar begin ook nuwe en onheilspellende argitektoniese vorme verbeel, deur te interpoleer en te ekstrapoleer tussen standaard hoëbou-behuisingstipologieë soos die plaat-, punt- en trosblokke.

The Recognition

About the A' Design Award in Yster

AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.

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