AI Audio Summary and Discussion Want to learn about this topic in the background? Give this AI-generated audio summary a listen (created using NotebookLM). Start listening for easy summarization... stay for funny pronounciations of "Reevit". Data management tactics relating to quality and remediation have become essential for unlocking insights into AEC project information for the … Continue reading The What, Why, and How of Data Classification
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
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.
This past summer, we released LunchBoxML for Grasshopper. Many have asked if we would publish a version for Dynamo. Ask no more! As of the last update, we have included the first version of LunchBoxML for Dynamo! By having this capability in Dynamo, users are able to start leveraging data from Revit to feed the … Continue reading LunchBoxML for Dynamo
