Stanford University researchers combined artificial intelligence and satellite images to track levels of poverty in Africa over time. Their tool searched for signs of development like roads, housing structures, waterways and lights turned on at night. Researchers tested the tool's accuracy for about 20,000 African villages that had existing asset wealth data from surveys, dating back to 2009.