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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. Their work focuses on tracking the poses of babies to help identify potential signs of autism. This project highlights the challenges of using AI in scenarios where there is not enough data available.