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A Machine-Learning Model Can Help Reunite Long-Separated Families

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching imperfect, self-reported memories from parents and children.

An abstract illustration show human figures looking at each other