Dizajn AI Sampling Singapore Primarna funkcija: Stambena arhitektura čiji je autor Immanuel Koh iznimno je cijenjeni dobitnik prestižne nagrade 2025 Željezna nagrada A' Design Award u natjecateljskoj kategoriji Generativni, Algoritamski, Parametarski i AI-potpomognuti Dizajn.
ŽeljezoGenerativni· 2025
AI Sampling Singapore Primarna funkcija: Stambena arhitektura
autor/ica Immanuel Koh
Klijent: Immanuel Koh
Dobitnik nagrade Željezna nagrada A' Design Award u kategoriji Generativni
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Provjerite status nagrade za #170593Dizajn
O dizajnu AI Sampling Singapore Primarna funkcija: Stambena arhitektura
Tekst knjige: Singapur je umjetan grad. Treniran velikim skupom podataka 3D digitalnih modela visokih zgrada koje se nalaze u Singapuru, prilagođeno dizajnirani AI model ne stvara samo formalno uvjerljive i semantički koherentne konfiguracije, već počinje i zamišljati nove i neobične arhitektonske oblike, interpolirajući i ekstrapolirajući među standardnim tipologijama visokih stambenih zgrada kao što su pločasti, točkasti i grupirani blokovi.
Priznanje
O nagradi Željezna nagrada A' Design Award
AI Sampling Singapore Primarna funkcija: Stambena arhitektura je pobjednik Željezne nagrade A' Design Award, prestižnog priznanja koje se dodjeljuje dobrim dizajnima što ispunjavaju profesionalne i industrijske zahtjeve očekivane od dobro dizajniranih kreacija. Željezni pobjednici pokazuju veliku vještinu, visoku specijalizaciju, stručno razumijevanje i kreativne kapacitete svojih stvaratelja. Očekuje se da AI Sampling Singapore Primarna funkcija: Stambena arhitektura bude visoko cijenjena, voljena i njegovana kreacija koja je praktična i inovativna. Ovaj dizajn koji je osvojio Željeznu nagradu A' Design Award integrira najbolje industrijske prakse i ima kompetentne tehničke karakteristike povezane sa znanjem i talentom. AI Sampling Singapore Primarna funkcija: Stambena arhitektura se poštuje zbog svoje temeljitosti i dizajniran je da pruži poboljšanja kvalitete života koja pomažu da svijet postane bolje mjesto.
Iza dizajna
Komplet za medije
Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.
- Jedinstvena svojstva
- 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.
- Dimenzije i pakiranje
- 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.
- Oznake
- AI
- Proizvodna tehnologija
- 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.
- Dizajnerski izazov
- 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.
- Istraživanje
- 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.
- Inspiracija
- 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.
- Trajanje projekta
- 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.
- Tijek rada
- This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
- Patenti
- Currently no patent.
- Članovi tima
- Artificial-Architecture
- Zasluge za fotografije
- All credits: Artificial-Architecture
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