EconPapers    
Economics at your fingertips  
 

Deep learning powers a motion-tracking revolution

Roberta Kwok

Nature, 2019, vol. 574, issue 7776, 137-138

Abstract: A surge in the development of artificial-intelligence technology is driving a new wave of open-source tools for analysing animal behaviour and posture.

Keywords: Animal behaviour; Computational biology and bioinformatics; Conservation biology; Ecology (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/d41586-019-02942-5 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:574:y:2019:i:7776:d:10.1038_d41586-019-02942-5

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

DOI: 10.1038/d41586-019-02942-5

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:574:y:2019:i:7776:d:10.1038_d41586-019-02942-5