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Project / Sustainability, IA & Biodiversité, Télédétection & IA

AIME : L'IA au service des indicateurs de biodiversité marine

Summary :
The AIME project utilises artificial intelligence to integrate heterogeneous data — satellite imager...

Point of contact :
Jihad Zahir

Country : France, New Caledonia

Scientific challenges : ODD 14 : V ...

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Project / Sustainability, IA & Biodiversité, Télédétection & IA,

AIME : L'IA au service des indicateurs de biodiversité marine

Summary :

The AIME project utilises artificial intelligence to integrate heterogeneous data — satellite imagery, underwater images and videos, environmental DNA, GPS coordinates and telemetry — and to produce marine biodiversity indicators at different scales. The methods combine deep learning, ontologies and knowledge bases, natural language processing, machine learning and dynamic Bayesian networks, with a hybridisation of symbolic and sub-symbolic approaches aimed at enhancing the robustness and accuracy of the indicators.

Keywords :

marine biology, bioindicators, oceanography, artificial intelligence

Targeted end date : 31/12/2050

Point of contact : Jihad Zahir

Country : France, New Caledonia

Scientific challenges : ODD 14 : Vie aquatique

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AIME : L'IA au service des indicateurs de biodiversité marine