EconPapers    
Economics at your fingertips  
 

Can lessons from infants solve the problems of data-greedy AI?

Linda B. Smith ()

Nature, 2024, vol. 628, issue 8006, 45-46

Abstract: 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.

Keywords: Brain; Machine learning (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-024-00713-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:628:y:2024:i:8006:d:10.1038_d41586-024-00713-5

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-024-00713-5

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:nature:v:628:y:2024:i:8006:d:10.1038_d41586-024-00713-5