When Maps Aren’t Enough: Using Spatial AI to Measure the Green We See

Why we picked it

The MLAI Meetup is a community for AI researchers and professionals which hosts monthly talks on exciting research. Our format is: * 6:00 - 6:20: Socializing * 6:20 - 6:40: Announcements and AI news * 6:40 - 7:40: Talk(s) and Q&A * 7:40 - 8:00 Networking * 8:00: Head to the nearest pub for dinner **Shinjita Das: When Maps Aren’t Enough: Using Spatial AI to Measure the Green We See** **Talk description:** A tree can cool a street, appear clearly on a map – and still be completely invisible from someone’s window. That gap between what exists in a city and what people actually see and experience has shaped much of my research journey. When I first started working with geospatial science, I was fascinated by the idea that spatial data could reveal patterns in cities that are difficult to notice on the ground. During my Master’s research, I used deep learning to detect individual urban trees and examined their contributions to urban cooling. That was my first real encounter with machine