S2Vec, a new graph‑based language model from Google, learns the hidden structure of urban environments by treating streets and landmarks as nodes. The approach enables cities worldwide to generate richer maps, improve navigation, and support autonomous vehicles.
The Signal
Its scalable, data‑driven insights promise smarter infrastructure planning and more resilient urban systems.