AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi by Immanuel Koh

AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 Çmimi i Hekurt A' Design Award in Dizajni Gjenerues, Algoritmik, Parametrik dhe i Asistuar nga IA Competition Category.

HekuriGjenerues· 2025

AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi

by Immanuel Koh

Client: Immanuel Koh

Çmimi i Hekurt A' Design Award Winner in Gjenerues Category

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The Design

About AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi

Teksti i Librit: Singapori është një qytet artificial. I trajnuar me një grup të madh të dhënash modelesh dixhitale 3D të ndërtesave shumëkatëshe që gjenden në Singapor, modeli i inteligjencës artificiale i projektuar me porosi gjeneron jo vetëm konfigurime formalisht të besueshme dhe semantikisht koherente, por fillon gjithashtu të imagjinojë forma arkitekturore të reja dhe të çuditshme, duke interpoluar dhe ekstrapoluar midis tipologjive standarde të banimit shumëkatësh si blloqet pllakë, pikë dhe grupim.

The Recognition

About the Çmimi i Hekurt A' Design Award

AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi është fitues i Çmimit të Hekurt A' Design Award, një njohje prestigjioze që u akordohet dizajneve të mira që plotësojnë kërkesat profesionale e industriale që priten nga krijimet e dizajnuara mirë. Fituesit e Hekurt shfaqin aftësi të madhe, specializim të lartë, kuptim ekspert dhe kapacitet krijues të autorëve të tyre. AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi pritet të jetë një krijim shumë i vlerësuar, i admiruar e i dashur, praktik dhe inovativ. Ky dizajn fitues i Çmimit të Hekurt A' Design Award integron praktikat më të mira të industrisë dhe ka karakteristika teknike të afta, të lidhura me njohuri dhe talent. AI Sampling Singapore Funksioni Parësor: Arkitekturë Banimi respektohet për përpikërinë e tij dhe është dizajnuar për të ofruar përmirësime të cilësisë së jetës që ndihmojnë ta bëjnë botën një vend më të mirë.

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