AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr by Immanuel Koh

AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award í járni in Myndandi, reikniritslega, stikuð og gervigreindarstuðla hönnun Competition Category.

JárnMyndandi· 2025

AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr

by Immanuel Koh

Client: Immanuel Koh

A' Design Award í járni Winner in Myndandi Category

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The Design

About AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr

Texti bókar: Singapúr er gervileg borg. Eftir að hafa verið þjálfað með stóru gagnasafni þrívíðra stafrænna líkana af háhýsum í Singapúr býr sérhannaða gervigreindarlíkanið ekki aðeins til formlega trúverðugar og merkingarlega samkvæmar uppstillingar, heldur byrjar það einnig að ímynda sér nýstárleg og óhugnanleg byggingarform, með því að innskjóta og útskjóta milli hefðbundinna gerða háhýsaíbúða á borð við plötu-, punkt- og þyrpingarblokkir.

The Recognition

About the A' Design Award í járni

AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr vann A' Design Award í járni, virta viðurkenningu sem veitt er góðum hönnunarverkum sem uppfylla þær faglegu og iðnaðarlegu kröfur sem gerðar eru til vel hannaðra sköpunarverka. Sigurvegarar í járni sýna mikla færni, mikla sérhæfingu, sérfræðiskilning og skapandi getu höfunda sinna. Þess er vænst að AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr sé mjög metið, dáð og elskað sköpunarverk sem er hagnýtt og nýstárlegt. Þetta hönnunarverk sem vann A' Design Award í járni sameinar bestu starfsvenjur greinarinnar og hefur hæfa tæknilega eiginleika tengda þekkingu og hæfileikum. AI Sampling Singapore Frumhlutverk: Íbúðarhúsaarkitektúr er virt fyrir nákvæmni sína og er hannað til að veita lífsgæðabætur sem hjálpa til við að gera heiminn að betri stað.

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