AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama daga Immanuel Koh

Zane AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama daga Immanuel Koh mai nasara ne mai daraja sosai na 2025 Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Gasar Ƙirƙira ta Kwamfuta.

Baƙin ƘarfeƘirƙira ta Kwamfuta· 2025

AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama

daga Immanuel Koh

Abokin Ciniki: Immanuel Koh

Mai Nasarar Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Ƙirƙira ta Kwamfuta

60,960

Mai Nasara da Aka Tabbatar

Tabbatar da Matsayin Kyauta na #170593

Ziyarci Shafin Duba a A' Design Award Sanarwar Manema Labarai Alamar Kyauta

Launuka

Ƙirar

Game da AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama

Rubutun Littafi: Singapore birni ne na wucin gadi. Da aka horar da shi tare da babban tarin bayanan samfuran dijital na 3D na manyan gine-gine masu hawa da yawa da ake samu a Singapore, samfurin AI da aka tsara na musamman ba kawai yana samar da daidaitattun tsare-tsare masu yiwuwa ta fuskar tsari da daidaito ta ma'ana ba, har ma yana fara hasashen sabbin siffofin gine-gine masu ban mamaki, yana haɗawa da faɗaɗa tsakanin daidaitattun nau'o'in gidaje masu hawa da yawa kamar tubali na faifai, na maki, da na gungu.

Amincewa

Game da Kyautar A' Design Award ta Baƙin Ƙarfe

Zanen AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe, wata karramawa mai daraja da ake bai wa kyawawan zane-zane waɗanda ke cika buƙatun ƙwararru da masana'antu da ake tsammani daga ƙirƙire-ƙirƙire da aka tsara da kyau. Waɗanda suka lashe kyautar Baƙin Ƙarfe suna nuna babban ƙwarewa, ƙwarewa ta musamman, fahimtar ƙwararru da ikon ƙirƙira na masu ƙirƙirar su. Ana sa ran zanen AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama ya zama ƙirƙira da ake girmamawa sosai, ake sha'awa da ƙauna wacce ke da amfani kuma mai sababbin abubuwa. Wannan zane da ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe yana haɗa mafi kyawun ayyukan fannin kuma yana da halayen fasaha masu cancanta da ke da alaƙa da sanin yadda da baiwa. Ana girmama zanen AI Sampling Singapore Aikin Farko: Gine-ginen Wuraren Zama saboda cikakkiyar kulawarsa kuma an tsara shi don ba da ingantuwar rayuwa da ke taimakawa wajen mai da duniya wuri mafi kyau.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: 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.
Girma da Fakitin: 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.
Kalmomin Alama: AI
Fasahar Samarwa: 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.
Ƙalubalen Zane: 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.
Bincike: 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.
Wahayi: 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.
Tsawon Lokacin Aikin: 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.
Tsarin Aiki: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Haƙƙoƙin Ƙirƙira: Currently no patent.
Mambobin Ƙungiya: Artificial-Architecture
Godiyar Hotuna: All credits: Artificial-Architecture