Can lessons from infants solve the problems of data-greedy AI?
成果类型：
Editorial Material
署名作者：
Smith, Linda B.
署名单位：
Indiana University System; Indiana University Bloomington
刊物名称：
Nature
ISSN/ISSBN：
0028-3849
DOI：
10.1038/d41586-024-00713-5
发表日期：
2024-04-04
页码：
E1-E1
关键词：
摘要：
Words and images experienced by an infant wearing sensors during their daily life have led to efficient machine learning, pointing to the power of multimodal training signals and to the potentially exploitable statistics of real-life experience.
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