AI for AEC: Open Data and VPL approach for urban seismic vulnerability.

This contribution provides an overview of the VPL evolution and an application case concerning the classification of seismic vulnerability indices with AI. This research aims to contribute to the scientific debate on the use of these technologies in architecture, deepening the themes of seismic assessment on urban and territorial scale. The whole experimentation was conducted using only the potential of Grasshopper’s VPL and possessing, as basic knowledge, the main concepts of machine learning and supervised learning. The VPL is therefore an effective tool to introduce and disseminate the topics and applications of artificial intelligence within the AEC sector, effectively decreasing the gap between domain experts and programmers.