S2Vec, a graph‑based language model from Google AI Research, learns how city infrastructure and human activity communicate. By mapping streets, transit hubs, and public spaces into a shared embedding space, it enables global urban planners to compare city dynamics, forecast traffic flows, and design resilient infrastructure.
The Signal
The approach offers a universal framework for smart‑city analytics worldwide.