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.

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From Static Form to Living System: The Convergence of Architecture, Biology, and Artificial Intelligence

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

Automating Scientists

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: Model to Building

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

The Construction Graph: Rethinking how we build, one Node at a Time

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

Graph Thinking for Adaptive Living

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

AI Ghosts of Ancient Civilizations

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

FGSketch: image to sketch web-app

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

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

Meaning by Machine

Outline: Depth and canny of an object by Jose Lazokafatty and Paul Suarez Introduction The Machine, as a creative AI-powered image generator that turns your sketches and prompts into richly detailed visions. Born from curiosity—how does a machine interpret an abstract outline of a doodle? or the depth of an image? this project is as … Read more

Graph ML appFire Sread Prediction

In this project, we leverage Graph Machine Learning to enhance fire safety analysis by predicting fire spread risk in building units using enriched IFC models and advanced graph algorithms. Idea & Goal Our workflow begins in Grasshopper, where we configure building units and enrich the IFC model with custom fire-related attributes such as Material combustibility, … Read more

THERMAL COMFORT_A predictive model for PMV index

Thermal Comfort Index Prediction // Definition OBJECTIVE: predicting thermal comfort in air-conditioned residential buildings using machine learning algorithms. What is indoor thermal comfort? Thermal comfort is “That condition of mind that expresses satisfaction with the thermal environment” (ISO 7730) People may feel that their surroundings are warm, cold or simply comfortable depending on the thermal state … Read more

The Carbon Blueprint

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

KG LineART

A GRADIO tool that generates architectural line drawings from Rhino3D Viewport screenshots by relating on a trained LoRA of architectural line drawings that takes the viewport input prompt option setting and generate a ready to use line drawing The User even have the option to edit the Hue and Saturation of the line drawing and … Read more

PLEINAR _ a 3d model to watercolour INTERFACE

Imagine transforming any 3D model into an expressive, hand-rendered-style watercolor sketch, a visualization that breathes life into architectural concepts. Pleinar: the interface that transforms 3D models into captivating, multiview, generative watercolor sketches, inspired by the brilliant artistry of Liz Steel. __________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________ The LoRA – training DATASET We trained this LoRA on the work of … Read more

ARchitect

Sketches in Space with AI and LoRA What if architects could doodle inside their designs—live, in 360°? ARchitect is a mixed-reality interface I developed for stylizing architectural spaces using expressive, cartoon-like overlays. Powered by LoRA fine-tuning and a custom-trained Flux, ARchitect reimagines how we interact with our built environment—by making architectural visualization playful, intuitive, and … Read more

Beyond The Frame

Visual Storytelling using SDXL _LoRA_Gradio Exploring Dali and Bosch-inspired storytelling with SDXL + Gradio Our project is a tool that helps architects turn stories into surreal image sequences. We explored styles inspired by Dali and Bosch to create dreamlike visuals. Although we trained a custom model, we used prompt-based image generation in the final version. … Read more