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

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

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

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

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

Pavilion 3D & 2D Generator

Problem statement Pavilion design is deceptively demanding. Even though these structures are small, the creative expectations are incredibly high. In most competitions or studio settings, we’re expected to deliver rich, meaningful concepts – drawing on cultural references, environmental context, and symbolic language – all within just a few days or even hours. At the same … Read more

The Storyteller: Revolutionizing Architectural Communication

How two architects transformed the way we present architectural projects by creating an AI-powered storytelling interface that turns technical drawings into compelling visual narratives. The Genesis: Beyond Plans and Sections Traditional architectural presentations often fail to bridge the gap between professional technical documentation and client understanding. James discovered that: So who is this storyteller platform … Read more

Inpaint Materiality

Intro Designers know the pain: a perfect image—ruined by one wrong material. A distracting object. A missing texture. An awkward composition. You could retouch it manually, but how long will that take? And will it ever really blend? What if you could just circle the problem area and ask for something better? Something that fits … Read more

Faster Architectural Workflows with Generative AI: From Text Prompts to Custom LoRAs

Morph 2 LoRAs

Why “Faster” Matters A single photorealistic render can quickly be very expensive and take days to produce, locking design changes behind hefty bills and long waits for architects. Generative AI, through models like Stable Diffusion and custom LoRAs, slashes both cost and time, turning sketches into near-final visuals in seconds. By democratizing high-fidelity imagery, it … Read more

From Raw Acoustics to Predictive Insights: Modeling Comfort in Architectural Spaces

Introduction In this blog, we walk through the complete data science process applied to a unique challenge: predicting the acoustic comfort index of apartment units based on architectural and environmental features. This includes data preprocessing, feature engineering, model training, interpretation, and tuning—with tools like XGBoost, Neural Networks, and SHAP for explainability. The workflow is split … Read more