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.
Grasshopper ↔ Gradio Workflow for AI-Aided Visual Storytelling” “WORKFLOW“ Creating concept with Grasshopper and testing it with Gradio with LoRA for visualization. Testing the workflow with styling with trained model from Van Gogh work . Collecting city, landscape and architecture paintings to created hybrid styling between architecture language in the past and present. Modeling Grasshopper … Read more
This project introduces a graph-based machine learning system designed to automate furniture placement in apartment layouts. The workflow was developed as part of an architectural design studio and played a key role in generating comfort-driven interior configurations. At its core, the system encodes spatial and functional rules such as placing a sofa near a window … Read more
The focus is on storytelling as a creative driver — capturing the way individuals describe surreal, emotional, or symbolic dreams, and translating those stories into architectural forms and spaces. The generated visuals are not literal replications of real-world buildings, but rather emotive structures, impossible environments, and symbolic architectures that reflect how the subconscious mind imagines … 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
A STORY OF SYNTHETIC LIFE FORM HAVE YOU EVER DREAMT OF A BETTER VERSION OF YOURSELF? The Substance, directed by Coralie Fargeat (Universal Pictures, 2024) This project simulates a linear evolutionary process in which a synthetic organism progressively transforms to become more human-like. The evolution is guided entirely by language models, with no human intervention … Read more
Research reveals a profound transformation in human-AI relationships, where anthropomorphism (the projection of human qualities onto artificial entities) has evolved from a psychological curiosity into a fundamental force reshaping human cognition, identity, and social behavior. This comprehensive analysis exposes critical tensions between AI as cognitive enhancement versus cognitive dependency, challenging celebratory narratives of human-AI collaboration … Read more
What if body becomes the carrier of code? Information derived from human-body; it’s movement, expressions, how it sounds as a dataset for AI interpretation and use. What are the different dimensions of these interactions & interpretations? Biological Dimension AI Dimension Informational Dimension Different Modalities Study of Amazon’s AI systems Visualisation of the Back-End Process Follow … Read more
Introduction From the moment a baby grasps a finger, human learning is messy, sensory-rich, and rooted in lived experience. Neurons re-wire through curiosity, emotion, and social feedback, slowly weaving meaning from sparse data. By contrast, modern AI models absorb terabytes of text and images in silence, tuning billions of weights to predict what comes next. … Read more
At the nexus of competing demands architecture has always existed. Every design endeavor aims to balance materialsity with ecological awareness economy with spatial generosity permanence with adaptability and structure with aesthetics. It is uncommon for these multifaceted pressures—structural physical socioeconomic and sustainable—to allow for a one-size-fits-all solution. Rather traditional architectural design frequently necessitates major concessions … Read more
A Critical Analysis of AI-Driven Emotional Computing and Mechanization of Human Affect 1. Abstract This critical analysis examines the theoretical implications of “Automating Scientists,” a project that explores the intersection of artificial intelligence and human emotional recognition. Through the lens of affective computing, this study interrogates the fundamental question: “Can a machine sense us deeply … Read more
Mas Profundo is a pipeline that allows designers to generate interesting architectural images from simple models using a live camera feed. Architectural models tend to portray a reduced colorway and detail is limited by workmanship and time. Mas Profundo allows each model ideation to be visualized more realistically than a simple foam model. Mas Profundo … Read more
Abstract In this project, we explore how graph-based thinking can reshape construction planning by bridging design data and scheduling logic. Drawing inspiration from modular architecture and network theory, we investigate new ways to visualize, analyze, and optimize the sequencing of building elements. By combining insights from BIM, parametric modeling, and graph analysis, the work aims … Read more
Our Solution: The Co-creator App We’ve developed a Copilot App – a local AI system that lives in your building and speaks your language. Literally. You make natural language requests, and it translates them into real architectural actions by understanding the complex relationships between spaces and residents through graph databases and GDS algorithms. Here’s how … Read more
Are conversations with ghosts a thing of the past?….. or perhaps a break-through of the future? Reconstructing Lost Worldviews Generative artificial intelligence is often touted for its futuristic promise, but a growing cadre of researchers is turning AI’s gaze to the distant past. What if we Generative artificial intelligence is often touted for its futuristic … Read more
Introduction We are Aleyna and Francesco, and in this post, we present FG Sketches—a generative tool developed as part of the Artificial Intelligence in Architecture (AIA) module within the MaCAD Generative AI program. The objective of this project was to design a system capable of learning from the sketching language of Frank Gehry and translating … Read more
ISOGEN — Isometric Building Generation with AI By Joaquín Broquedis & Marco DurandFinal project for Generative AI Introduction This project explores the use of generative AI to produce isometric visualizations of architectural typologies. We developed ISOGEN, a small-scale prototype aimed at testing whether a custom-trained image-to-image LoRA (Low-Rank Adaptation) model could learn to generate building … Read more
