The project DIG-AI for Deciphering plant genotype-phenotype Interactions using knowledge Graphs and AI, aims to leverage AI to improve crop production capacities in developing countries through a better understanding of genotype-phenotype relationships in a context of climate change.

agroecology, developmental genetics in plants, artificial intelligence

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.

marine biology, bioindicators, oceanography, artificial intelligence

"The rise of machine learning allows us to consider a completely different approach, without any physical assumptions, based solely on empirical data. The idea is to feed the algorithms with all the quantitative observations of natural phenomena that we can muster, to see if they can identify factors that have so far escaped the attention of specialists."

geophysics, geodynamics, artificial intelligence

There is an important gap between biodiversity research and the management of natural areas. This research project aims to reduce this gap by proposing spatial planning methods that robustly and accurately integrate socio-ecological issues. Artificial intelligence will play a central role and will make it possible to remove the methodological obstacles that prevent us from properly addressing the complexity and heterogeneity of sustainability issues in the management of ecosystems.

biology, artificial intelligence

Led by a multidisciplinary team involving IRD, Sorbonne University and AP-HP, the ELDORA project aims to transform sudden death prevention. Its main objective is to develop artificial intelligence models applied to electrocardiograms (ECGs) in order to better identify the risks associated with long QT syndrome (LQTS) and myocarditis induced by immune checkpoint inhibitors (ICIs).

health, artificial intelligence

The Nawras project utilises artificial intelligence to assess the law's ability to protect the marine environment. It is developing a methodology that combines legal science and AI to identify indicators for measuring 'where, when and how the law protects the oceans', with artificial intelligence automating the extraction of legal information.

law, marine biology, oceanography, artificial intelligence