AI Sampling Singapore Asa fanorenana trano fonenana by Immanuel Koh

AI Sampling Singapore Asa fanorenana trano fonenana by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Vy in Famolavolana Generativa, Algoritmika, Parametrika ary Ampian'ny AI Competition Category.

VyGenerativa· 2025

AI Sampling Singapore Asa fanorenana trano fonenana

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Vy Winner in Generativa Category

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Verified Award Winner

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Colors

The Design

About AI Sampling Singapore Asa fanorenana trano fonenana

Singapaoro dia tanàna artifisialy. Nampiofanina tamin'ny angon-drakitra lehibe misy maodely nomerika 3D an'ireo trano avo hita any Singapaoro, ny maodely AI namboarina manokana dia tsy vitan'ny mamorona rafitra mety amin'ny endrika sady mifanaraka amin'ny heviny ihany, fa manomboka koa maka sary an-tsaina endrika maritrano vaovao sy mahatalanjona, manao interpolation sy extrapolation eo amin'ireo karazana trano fonenana avo mahazatra toy ny "slab", "point", ary "cluster blocks".

The Recognition

About the A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana AI Sampling Singapore Asa fanorenana trano fonenana, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana AI Sampling Singapore Asa fanorenana trano fonenana. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana AI Sampling Singapore Asa fanorenana trano fonenana dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

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