Recent advances in computing and artificial intelligence, along with insights into infant learning, suggest that machine and deep learning techniques can help us study how infants transition from random exploratory movements to purposeful actions. Most research has focused on babies’ spontaneous movements, distinguishing between fidgety and non-fidgety behaviors.
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