A new AI tool can track poverty levels in African villages over time by scanning satellite images for signs of economic well-being.
The tool searches the images for indicators of development, such as roads, agriculture, housing, and lights turned on at night.
Filling gaps in dataThe researchers believe their system could measure economic well-being in areas where reliable data is lacking.
“Amazingly, there hasn’t really been any good way to understand how poverty is changing at a local level in Africa.
Even if it never makes it into any of their hands, the system could deepen our understanding of what affects economic well-being around the world.

Comments to: Stanford uses AI scans of satellite images to track poverty levels over time

Your email address will not be published. Required fields are marked *

Attach images - Only PNG, JPG, JPEG and GIF are supported.

Login

Welcome to Typer

Brief and amiable onboarding is the first thing a new user sees in the theme.
Join Typer
Registration is closed.