AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar minn Immanuel Koh

Id-disinn AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar minn Immanuel Koh huwa rebbieħ stmat ħafna tal-prestiġjuż 2025 Premju A' Design Award tal-Ħadid fil-Kategorija tal-Kompetizzjoni ta' Disinn Ġenerattiv, Algoritmiku, Parametriku u Assistit mill-AI.

ĦadidĠenerattiv· 2025

AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar

minn Immanuel Koh

Klijent: Immanuel Koh

Rebbieħ tal-Premju A' Design Award tal-Ħadid fil-Kategorija ta' Ġenerattiv

60,960

Rebbieħ ta' Premju Ivverifikat

Ivverifika l-Istatus tal-Premju għal #170593

Żur is-Sit Ara fuq A' Design Award Stqarrija għall-Istampa Badge tal-Premju

Kuluri

Id-Disinn

Dwar AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar

Test tal-Ktieb: Singapor hija belt artifiċjali. Imħarreġ b'sett ta' data kbir ta' mudelli diġitali 3D ta' binjiet għoljin li jinsabu f'Singapor, il-mudell tal-IA ddisinjat apposta jiġġenera mhux biss konfigurazzjonijiet formalment plawsibbli u semantikament koerenti, iżda jibda wkoll jimmaġina forom arkitettoniċi ġodda u stramba, billi jinterpola u jestrapola fost it-tipoloġiji standard tad-djar għoljin bħall-blokok tat-tip slab, point, u cluster.

Ir-Rikonoxximent

Dwar il-Premju A' Design Award tal-Ħadid

AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar huwa rebbieħ tal-Premju A' Design Award tal-Ħadid, rikonoxximent prestiġjuż mogħti lil disinji tajbin li jissodisfaw ir-rekwiżiti professjonali u industrijali mistennija minn ħolqien imfassal tajjeb. Ir-rebbieħa tal-Ħadid juru l-ħila kbira, l-ispeċjalizzazzjoni għolja, il-fehim espert u l-kapaċità kreattiva tal-ħallieqa tagħhom. Huwa mistenni li AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar ikun ħolqien imqabbar ħafna, mammirat u maħbub li huwa prattiku u innovattiv. Dan id-disinn rebbieħ tal-Ħadid jintegra l-aħjar prattiki tal-industrija u għandu karatteristiċi tekniċi kompetenti marbuta mal-għarfien u t-talent. AI Sampling Singapore Funzjoni Primarja: Arkitettura tad-Djar huwa rispettat għall-eżattezza tiegħu u mfassal biex itejjeb il-kwalità tal-ħajja u jgħin jagħmel id-dinja post aħjar.

Wara d-Disinn

Kit għall-Istampa

Krediti, membri tat-tim u dettalji tekniċi pprovduti mid-disinjatur.

Proprjetajiet Uniċi: 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.
Dimensjonijiet u Ippakkjar: 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.
Tikketti: AI
Teknoloġija tal-Produzzjoni: 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.
Sfida tad-Disinn: 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.
Riċerka: 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.
Ispirazzjoni: 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.
Tul tal-Proġett: 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.
Fluss tal-Operazzjoni: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Privattivi: Currently no patent.
Membri tat-Tim: Artificial-Architecture
Krediti tal-Immaġni: All credits: Artificial-Architecture