Our 2018 summer research internship has come to the finish line! In the last 8 weeks, the Proving Ground research team developed design uses cases for multi-objective evolutionary solvers and created game engine prototypes to visualize complex spatial databases. The team learned a lot this summer and we wish Maren and Ian all the best … Continue reading Summer 2018 – Part 2
True ‘Digital Transformation’ means confronting our often entrenched institutional, cultural, and professional habits and challenging the core assumptions of how we will be working in the future. If there is one common theme to the topics on this blog, it is the digital transformation in the world of buildings. It is a topic that elicits … Continue reading 4 Tactics for Your Digital Transformation
Last year, we introduced LunchBoxML - a machine learning (ML) plugin for Grasshopper and Dynamo that uses the Accord framework. LunchBoxML introduces several generalized supervised and unsupervised learning tools to visual programming including regression analysis, neural networks, and mixture models. We have published a few new examples to the Bitbucket repository to demonstrate the application … Continue reading New Machine Learning Examples with LunchBoxML
We have recently created a database framework called Minecart which harvests data from building information sources such as Revit and IFC formats. Our database is designed to represent building information as a scalable relational structure connecting data across multiple projects, documents, elements, and parameters.