AI Sampling Singapore معماری مسکونی by Immanuel Koh

AI Sampling Singapore معماری مسکونی by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 جایزه آهنی A' Design Award in طراحی مولد، الگوریتمی، پارامتریک و مبتنی بر هوش مصنوعی Competition Category.

آهنطراحی مولد· 2025

AI Sampling Singapore معماری مسکونی

by Immanuel Koh

Client: Immanuel Koh

جایزه آهنی A' Design Award Winner in طراحی مولد Category

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The Design

About AI Sampling Singapore معماری مسکونی

سنگاپور یک شهر مصنوعی است. مدل هوش مصنوعی سفارشی‌سازی‌شده که با مجموعه‌داده‌ای بزرگ از مدل‌های دیجیتال سه‌بعدی ساختمان‌های بلندمرتبه موجود در سنگاپور آموزش دیده است، نه‌تنها پیکربندی‌هایی از نظر فرمی محتمل و از نظر معنایی منسجم تولید می‌کند، بلکه شروع به تصور فرم‌های معماری بدیع و غریب نیز می‌کند و میان گونه‌شناسی‌های استاندارد مسکن بلندمرتبه مانند بلوک‌های صفحه‌ای، نقطه‌ای و خوشه‌ای، درون‌یابی و برون‌یابی انجام می‌دهد.

The Recognition

About the جایزه آهنی A' Design Award

AI Sampling Singapore معماری مسکونی برنده جایزه آهنی A' Design Award است، شناختی معتبر که به طراحی‌های خوبی اعطا می‌شود که الزامات حرفه‌ای و صنعتی مورد انتظار از آفرینش‌های خوب طراحی‌شده را برآورده می‌کنند. برندگان آهن مهارت بزرگ، تخصص بالا، درک کارشناسانه و ظرفیت خلاقانه سازندگان خود را نشان می‌دهند. از AI Sampling Singapore معماری مسکونی انتظار می‌رود آفرینشی بسیار ارجمند، ستوده و دوست‌داشتنی باشد که کاربردی و نوآورانه است. این طراحی برنده جایزه آهنی A' Design Award بهترین رویه‌های صنعت را یکپارچه می‌کند و ویژگی‌های فنی شایسته‌ای دارد که با دانش عملی و استعداد پیوند خورده است. AI Sampling Singapore معماری مسکونی به سبب دقتش محترم است و برای عرضه بهبودهای کیفیت زندگی که به بهتر شدن جهان کمک می‌کنند طراحی شده است.

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