The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Nestled within IAAC’s Master of Advanced Computational Design program, our recent investigation of Graph Machine Learning (Graph ML) sought to reimagine how we perceive, evaluate, and improve architectural spaces. Our team of Andrea, Leila, Lennart, and Mahnoor worked on a courtyard prototype to create a seamless process that combines parametric modeling, semantic data interchange, and … Read more
In modern residential architecture, acoustic comfort is as vital as daylighting or thermal performance. In our latest studio research at the Institute for Advanced Architecture of Catalonia, Group 09 tackled the challenge of mapping and optimizing sound behavior in homes using graph-based machine-learning workflows. Over the next five minutes, you’ll discover how we combined city-scale … Read more
GWP-data enriched graphs Imagine being able to see the carbon footprint of a building, not after it’s built, but while it’s still a sketch. What if architects and engineers could get real-time sustainability feedback the moment they decide on a material or tweak a wall layout? That’s the vision behind Visual GWP. We combined Graph … Read more
Thermal Insight would be a standalone app that optimizes indoor environments by predicting thermal comfort. With simulations from trained models to help enhance occupant comfort and energy efficiency, evaluating metrics like PMV, PPD, and MRT. This tool would help improve well-being and productivity while achieving efficiency goals. Abstract Methodology Use Case Data Analysis Results and … Read more
We embarked on a fascinating journey through the latest advancements in Image Synthesis and Language Models within the Architecture, Engineering, and Construction (AEC) industry. The course highlighted the transformative potential of generative AI, enabling architects, engineers, and designers to push the boundaries of traditional design processes, streamline workflows, and tackle complex challenges in groundbreaking ways. … Read more
Abstract 3D-SOLIDS Component Classification tool utilizes machine learning to optimize the placement of essential 3D components such as walls, doors, windows, floors, and railings in residential floor plans. By analyzing spatial features and architectural attributes, it automates and enhances the design process, ensuring accuracy, consistency, and compliance with building standards. This tool aids architects and … Read more
