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Digital Communication and Information Sciences for the Future Internet
CominLabs is a Labex involving nine partner labs distributed over Brittany-Nantes, gathering about 500 researchers. Its scientific scope involves networks, security and privacy, connected things, data and artificial intelligence, robotics, the social Web, ICT for precision medicine, multimedia, ICT
Grand défi Ferments du futur
Lancé dans le cadre de la Stratégie Nationale d’Accélération « alimentation durable et favorable à la santé » de France 2030, le Grand Défi Ferments du futur (GDFF) vise à accélérer la recherche et l’innovation sur les ferments et les aliments fermentés. En particulier il s’intéresse à 4 axes : 1) i
Integrative and multidisciplinary tools for the study of infectious diseases from the wild to the lab
"One Health" is now recognized as a major concept in the field of prevention and management of emerging infectious diseases (EID), particularly in the context of (i) (re)emerging diseases, the vast majority of which are zoonotic, (ii) vector-borne diseases and (iii) antimicrobial resistance. The Equ
Detection, assessment ant treatment of chronic thromboembolic pulmonary hypertension
L’hypertension pulmonaire thromboembolique chronique (HTP-TEC) est une maladie vasculaire pulmonaire grave dont la méconnaissance conduit à des diagnostics tardifs et au risque de décès. L'objectif de DESTINATION 2024 est de favoriser le diagnostic précoce, d’évaluer la sévérité et de traiter l’HTP-
Mondes numériques: Données, programmes et architectures distribués
DigiCosme is one of the 103 Laboratories of Excellence, funded by the ANR, whose extension has been granted for the period 2020-2024. Started in 2012, the LabEx aims at addressing some of the major challenges raised by the revolution of digital technology, based on the excellent p
Homogeneous and heterogeneous catalytic CO2 Reduction Mechanisms wIth Neural networks and Enhanced sampling – HERMINE
This project aims to develop advanced artificial intelligence (AI)-driven molecular simulations to uncover the mechanisms governing carbon dioxide (CO2) reduction, a critical process in the fight against climate change. Converting CO2 into valuable chemical products requires efficient catalysts, yet
Machine Learning for Molecular Imaging and Medicine of the Future – AAIMME
Positron Emission Tomography (PET) is a powerful functional medical imaging modality. A radiotracer is injected to the patient, targeting a biochemical process and then gamma ray pairs are detected. Image reconstruction is needed to visualize and quantify the functional process of interest. The qual
The Computational Role of the Cortical multi-area Structure – CRoCoS
Mathematical models of neural networks are a key tool for understanding how millions of neurons in the brain work together to implement behaviorally relevant computations. Recent progress in artificial intelligence has provided new methods for generating network models that perform the same cognitiv
Spectral Panoptic Analysers of Gamma rays in Hydrothermal Environments for Transport Time Inference – SPAGHETTI
We propose to develop a new approach for continuous, high-frequency monitoring of radon gas in all manifestations of volcanic hydrothermal systems (fumaroles, hot water springs, acidic lakes, soil diffuse degassing). The analysis of these fluids is fundamental to understand and monitor heat and chem
Platform for Identification and Research of Anomalies based on AI - using Multi-Varied Methods – PIRANIA-MMV
This proposal follows the PIRANIA-MS project submitted in 2021 to ANR-ASTRID. As a result of the committee’s evaluation report, comments were taken into account for this new submission. As a consequence, our proposal has been reviewed by tightening our ambitions. We have worked closely together t
