When the baby teaches the machine: they design an experiment so that artificial intelligence learns like a child. Researchers at New York University analyzed a child's learning process by video recording in first person.
Information collected through the eyes and ears of a single child was used to train a multimodal artificial intelligence system. Better understanding this process in children could allow next-generation artificial intelligence systems to develop links between words and visual representations, explains this team led by Wai Keen Vong. The findings published this Thursday in Science show that the model, or neural network, could, in fact, learn a substantial number of words and concepts.