AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan by Immanuel Koh

AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Basi in Generatif Competition Category.

BasiGeneratif· 2025

AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Basi Winner in Generatif Category

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Verified Award Winner

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The Design

About AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan

Teks Buku: Singapura adolah kota buatan. Dilatiah jo dataset gadang nan barisi model digital 3D dari gaduang-gaduang tinggi nan ado di Singapura, model AI nan dirancang khusus iko indak hanyo manghasiakan konfigurasi nan masuak aka sacaro formal sarato koheren sacaro semantik, tapi mulai pulo mambayangkan bantuak-bantuak arsitektur nan baru sarato ganjia, manginterpolasi sarato mangekstrapolasi di antaro tipologi parumahan tinggi standar siko lah slab, point, jo cluster block.

The Recognition

About the A' Design Award Basi

AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. AI Sampling Singapore Fungsi Utamo: Arsitektur Parumahan dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.

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