By Paul Rincon
Researchers have combined satellite imagery with AI to predict areas of poverty across the world.
There’s little reliable data on local incomes in developing countries, which hampers efforts to tackle the problem.
A team from Stanford University were able to train a computer system to identify impoverished areas from satellite and survey data in five African countries.
Continue reading by clicking the name of the source below.