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A team of researchers, led by University of Washington professor Jenq-Neng Hwang, has developed a method to train AI algorithms with limited data. This has potential applications in fields such as medical diagnosis and environmental monitoring. The team’s recent work focused on tracking baby poses to help identify early signs of autism.