COPIRAÏT - COrvid and Primate Individual Recognition using Artificial InTelligence

DUFOUR Valérie DUFOUR Valérie,
Research director at the CNRS, LAPSCO,
Valerie.dufour@CNRS.fr
 


 


DESCRIPTION

The socio-communicative complexity hypothesis states that living in groups should increase the need for efficient communication in animals. Thanks to "Rookognise", a multitask neural network designed to automatically recognize which rook is vocalizing when, we plan to test this hypothesis in a comparative way, i.e. in social and non-social corvids, but also in human and non-human primates. Rookognise needs to be adapted to non-bird species and enhanced with visual recognition of individuals and behaviors. This project should help to identify key factors in the evolution of language (sociality, cognition, vocal learning) that are shared by corvids and primates. It will also help to identify key communicative attitudes in children and their role in the establishment of social networks and, more generally, the link between vocal and social integration. Finally, this project also has strong innovative potential for education and animal conservation and welfare.


ACTIVITIES

We plan to hire two post-doctoral researchers and a PhD Student. We plan to develop a research platform to facilitate data sharing of both behavioural data and IA codes. We also plan to implement several actions of formation (online, or with the public) to show how IA can help us better understand the evolution of communication and the diversity of behaviours of other species.


CHAIR PRESENTATION

Chair Presentation Copirait

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Published on  August 22, 2025
Updated on August 22, 2025