AI Sampling Singapore Функсияи аввалия: Меъмории манзил by Immanuel Koh

AI Sampling Singapore Функсияи аввалия: Меъмории манзил by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 Ҷоизаи оҳании A' Design Award in Дизайни генеративӣ, алгоритмӣ, параметрикӣ ва бо кӯмаки зеҳни сунъӣ Competition Category.

ОҳанГенеративӣ· 2025

AI Sampling Singapore Функсияи аввалия: Меъмории манзил

by Immanuel Koh

Client: Immanuel Koh

Ҷоизаи оҳании A' Design Award Winner in Генеративӣ 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 Функсияи аввалия: Меъмории манзил

Матни китоб: Сингапур як шаҳри сунъӣ аст. Модели АИ-и махсус тарроҳишуда, ки бо маҷмӯаи бузурги додаҳои моделҳои рақамии 3D-и биноҳои баландошёна, ки дар Сингапур мавҷуданд, омӯзонида шудааст, на танҳо конфигуратсияҳои аз ҷиҳати шаклӣ боварибахш ва аз ҷиҳати маъноӣ ҳамоҳангро ба вуҷуд меорад, балки инчунин ба тасаввури шаклҳои нав ва аҷиби меъморӣ оғоз мекунад, ки дар байни типологияҳои стандартии манзили баландошёна, ба монанди блокҳои табақавӣ, нуқтавӣ ва кластерӣ интерполятсия ва экстраполятсия мекунад.

The Recognition

About the Ҷоизаи оҳании A' Design Award

AI Sampling Singapore Функсияи аввалия: Меъмории манзил ғолиби Ҷоизаи оҳании A' Design Award аст, ки эътирофи обрӯманд буда, ба тарҳҳои хуб дода мешавад, ки талаботи касбӣ ва саноатиро, ки аз офаридаҳои хуб тарҳрезишуда интизор меравад, иҷро мекунанд. Ғолибони оҳан маҳорати бузург, ихтисоси баланд, фаҳмиши коршиносона ва иқтидори эҷодии офаринандагони худро нишон медиҳанд. Интизор меравад, ки AI Sampling Singapore Функсияи аввалия: Меъмории манзил офаридаи хеле қадршуда, мавриди таҳсин ва маҳбуб бошад, ки амалӣ ва навоварона аст. Ин тарҳи ғолиби Ҷоизаи оҳании A' Design Award беҳтарин амалияи соҳаро муттаҳид мекунад ва хусусиятҳои босалоҳияти фаннӣ дорад, ки бо донишҳои амалӣ ва истеъдод пайваст шудаанд. AI Sampling Singapore Функсияи аввалия: Меъмории манзил барои диққаткорияш эҳтиром мешавад ва барои таъмини беҳбудиҳои сифати зиндагӣ, ки ба беҳтар кардани ҷаҳон кумак мекунанд, тарҳрезӣ шудааст.

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