IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.


Adapt_ai: Your copilot for sustainable design

Global Problem Buildings account for 40% of global carbon emissions And the majority of these emissions come from operational carbon; a significant component of which is heating, cooling, and lighting. These carbon and financial costs can be reduced by passive design strategies that reduce the need for mechanical heating and cooling, and electrical lighting. Passive … Read more

GG WORLDS Blender Plug-in Prototype

GG WORLDS: A Blender plugin that enables users to instantly generate and customize 3D environments from text prompts, using generative AI to save time, cost, and boost creative freedom. Physical Prototype: Our prototype demonstrates an interactive workflow where users arrange physical maps and landmarks, then use a tablet AR app to instantly visualize and modify … Read more

Adapt AI: Unity App

Abstract: For the class of Interactive Interfaces with professor Daniil Koshelyuk we got introduced to the Unity game engine, a powerful software to create all kinds of 3D applications and environments. For our group, we decided to create an app that would be the continuation of our Research Studio project: Adapt AI. A project where … Read more

GG Worlds [v.2]

Introduction: From Words to Worlds Game design is one of the most creative fields in digital media today but for most developers, turning ideas into immersive worlds remains slow, expensive, and overwhelming. Especially for independent creators, level design, the art of shaping the physical and emotional journey of a player, is often the most demanding … Read more

Grounded – Structural generation tool for architects

This project proposes a structural prediction tool tailored for the early stages of architectural design. Its goal is to provide architects with a structural assistant that offers meaningful insights, enabling them to make more informed decisions and, in turn, support their creative process from the outset. DEMO As part of the course, a website was … Read more

Urban Vegetation Analysis Using Computer Vision and Deep Learning

(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more

Agrowealth : Does agriculture correlate to economy?

The goal of this project is to compare between the economic stability of an agriculture first city. Hamburg’s agricultural wealth is largely connected to its surrounding regions—particularly Schleswig-Holstein and Lower Saxony, which are among Germany’s leading food producers. Consequently, we focused on peripheral areas of the city that have recently transitioned into agricultural land, allowing … Read more

Urban Layers

Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more

GG WORLDS [v.01]

GenAI for Game Environment Creation OverviewUrban environments in games play a crucial role in crafting immersive, dynamic worlds that captivate players and enhance storytelling. These settings not only shape the game’s atmosphere but also introduce strategic challenges and reflect cultural, social, and architectural identities, making virtual spaces feel authentic. However, creating high-quality, realistic game environments … Read more

Real time fabrication space control

AI for Robotic Fabrication Real-time control in fabrication spaces is essential for enhancing operational efficiency, minimizing risks, and ensuring worker safety. In dynamic manufacturing environments, accurately locating and tracking elements—such as machinery, tools, materials, and personnel—can drastically reduce accidents, optimize workflows, and streamline resource management. Through this project, we aim to integrate advanced sensing technologies, … Read more

AI For Robotic Fabrication Workshop : Reinforcement Learning for Intelligent Grid-Based Carving

Can an AI agent learn how to carve a shape — not by following a predefined path, but by figuring it out on its own? https://github.com/IaaC/AI_Robotics_Octopus.git Inspired by the precision of traditional craftsmanship, especially techniques like Japanese joinery where every cut matters, we wanted to see if a machine could learn that same logic in … Read more