Reuniting forcibly separated families: How a machine-learning model can help
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or socioeconomic crises. In China, family separation is a particularly large-scale and far-reaching problem. Following the enactment of the country's One Child Policy in 1979, many...
Image: Phys.org
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or socioeconomic crises. In China, family separation is a particularly large-scale and far-reaching problem. Following the enactment of the country's One Child Policy in 1979, many children were abandoned or trafficked and then adopted either domestically or internationally.
Originally published at Phys.org
