Northwestern University researchers used machine learning a branch of artificial intelligence to identify speech patterns in children with autism that were consistent between English and Cantonese, suggesting that features of speech might be a useful tool for diagnosing the condition.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.