Machine learning ‘poverty map’ could help aid get to the right places in Africa

There are few bigger challenges than trying to solve world poverty. While there are plenty of initiatives going on in this area, one of the most intriguing is being carried out by researchers at Stanford University. Using a combination of satellite data and machine learning, they’ve developed a “poverty map” of Africa that could help direct aid to some of the world’s most deprived areas.“One part of the problem when it comes to dealing with poverty is that we don’t have very good data,” Neal Jean, a Ph.D student in Machine Learning at Stanford, told Digital Trends. “If we want to help people, but we don’t know exactly where they are, that makes it very difficult to do. Traditionally, the way data is collected on poverty is by going out into the field and…


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