Immanuel Koh ᱨᱮᱱᱟᱜ AI Sampling Singapore Primary Function: ᱚᱲᱟᱜ ᱜᱷᱟᱰᱟᱣ ᱠᱟᱹᱢᱤ ᱫᱚ ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱡᱮᱱᱟᱨᱮᱴᱤᱵ· 2025
AI Sampling Singapore Primary Function: ᱚᱲᱟᱜ ᱜᱷᱟᱰᱟᱣ ᱠᱟᱹᱢᱤ
Immanuel Koh ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Immanuel Koh
ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#170593 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
AI Sampling Singapore Primary Function: ᱚᱲᱟᱜ ᱜᱷᱟᱰᱟᱣ ᱠᱟᱹᱢᱤ ᱵᱟᱵᱚᱛ ᱛᱮ
Book Text: ᱥᱤᱝᱜᱟᱯᱩᱨ ᱫᱚ ᱢᱤᱫ ᱵᱟᱱᱟᱣᱟᱱ ᱥᱚᱦᱚᱨ ᱠᱟᱱᱟ। ᱥᱤᱝᱜᱟᱯᱩᱨ ᱨᱮ ᱧᱟᱢ ᱚᱠᱚᱭ ᱩᱥᱩᱞ ᱚᱲᱟᱜ ᱠᱚᱣᱟᱜ ᱳᱨ 3D ᱰᱤᱡᱤᱴᱟᱞ ᱢᱳᱰᱮᱞ ᱠᱚᱣᱟᱜ ᱢᱟᱨᱟᱝ ᱰᱟᱴᱟᱥᱮᱴ ᱥᱟᱱᱟᱢ ᱛᱮ ᱴᱨᱮᱱᱤᱝ ᱦᱩᱭ ᱠᱟᱱᱟ, ᱱᱤᱡᱮ ᱰᱤᱡᱟᱭᱱ ᱦᱩᱭ ᱟᱠᱟᱱ AI ᱢᱳᱰᱮᱞ ᱫᱚ ᱪᱮᱫ ᱠᱷᱟᱱ ᱨᱩᱯ ᱨᱮ ᱢᱟᱱᱟᱣᱟᱱ ᱟᱨ ᱢᱟᱱᱮ ᱨᱮ ᱢᱤᱫᱴᱟᱝ ᱠᱚᱱᱯᱷᱤᱜᱩᱨᱮᱥᱟᱱ ᱠᱚ ᱵᱟᱝ ᱛᱮᱭᱟᱨ ᱮᱫᱟ, ᱢᱮᱱᱠᱷᱟᱱ ᱱᱟᱶᱟ ᱟᱨ ᱟᱪᱷᱟᱨᱡ ᱜᱷᱟᱰᱟᱣ ᱨᱩᱯ ᱠᱚ ᱦᱚᱸ ᱯᱟᱦᱟᱴᱟ ᱮᱦᱚᱵ ᱮᱫᱟ, ᱢᱟᱱᱚᱠ ᱩᱥᱩᱞ ᱚᱲᱟᱜ ᱴᱟᱭᱯᱳᱞᱳᱡᱤ ᱠᱚ ᱡᱮᱞᱮᱠᱟ ᱥᱞᱟᱵ, ᱯᱳᱭᱤᱱᱴ, ᱟᱨ ᱠᱞᱟᱥᱴᱟᱨ ᱵᱞᱚᱠ ᱠᱚ ᱛᱟᱞᱟ ᱨᱮ ᱤᱱᱴᱟᱨᱯᱳᱞᱮᱥᱟᱱ ᱟᱨ ᱮᱠᱥᱴᱨᱟᱯᱳᱞᱮᱥᱟᱱ ᱠᱟᱛᱮ।
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
AI Sampling Singapore Primary Function: ᱚᱲᱟᱜ ᱜᱷᱟᱰᱟᱣ ᱠᱟᱹᱢᱤ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ AI Sampling Singapore Primary Function: ᱚᱲᱟᱜ ᱜᱷᱟᱰᱟᱣ ᱠᱟᱹᱢᱤ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- 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.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 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.
- ᱴᱮᱜ ᱠᱚ
- AI
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- 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.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- 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.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- 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.
- ᱯᱨᱮᱨᱚᱱᱟ
- 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.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- 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.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
- ᱯᱮᱴᱮᱱᱴ ᱠᱚ
- Currently no patent.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Artificial-Architecture
- ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- All credits: Artificial-Architecture
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