AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur deur Immanuel Koh

Die ontwerp AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur deur Immanuel Koh is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2025 A' Design Award in Yster in die Generatiewe, Algoritmiese, Parametriese en KI-Ondersteunde Ontwerp-kompetisiekategorie.

YsterGeneratief· 2025

AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur

deur Immanuel Koh

Kliënt: Immanuel Koh

Wenner van die A' Design Award in Yster in die Generatief-kategorie

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Verifieer Toekenningsstatus vir #170593

Besoek Webwerf Bekyk by A' Design Award Persverklaring Toekenningskenteken

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Die Ontwerp

Oor AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur

Boekteks: Singapoer is 'n kunsmatige stad. Die pasgemaakte KI-model, opgelei met 'n groot datastel van 3D-digitale modelle van hoëgeboue wat in Singapoer gevind word, genereer nie net formeel geloofwaardige en semanties samehangende konfigurasies nie, maar begin ook nuwe en onheilspellende argitektoniese vorme verbeel, deur te interpoleer en te ekstrapoleer tussen standaard hoëbou-behuisingstipologieë soos die plaat-, punt- en trosblokke.

Die Erkenning

Oor die A' Design Award in Yster

AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. AI Sampling Singapore Primêre Funksie: Behuisingsargitektuur word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.

Agter die Ontwerp

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Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: 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.
Afmetings & Verpakking: 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.
Etikette: AI
Produksietegnologie: 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.
Ontwerpuitdaging: 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.
Navorsing: 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.
Inspirasie: 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.
Projekduur: 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.
Bedryfsvloei: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patente: Currently no patent.
Spanlede: Artificial-Architecture
Beeldkrediete: All credits: Artificial-Architecture