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
This article is a follow up to my 2016 article “The Wicked Problem of Interoperability”. In that article I discussed the technical interoperability challenges presented by today’s ‘walled garden’ of tools and speculated on a future that was ‘interoperable by design’. In this article, I discuss persistent workflow challenges that are unsolvable by technology alone … Continue reading Interoperability for the Building Industry – More Wicked Problems
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.
A drafting studio at Bell Labs, 1942. Source “The future is already here - it’s just not evenly distributed.” - William Gibson As we approach the finish line for 2017, I continue to reflect on the state of the architecture and construction industry as I have in years past. As we contend with global issues … Continue reading Reflecting on the Future of Work