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ARTIFICIAL INTELLIGENCE FOR INDENTIFICATION OF WOOD AND CHARCOAL IN ARCHAELOGICAL AND PALAEOLOGICAL PERSPECTIVE – AI-WOOD
Anthracology is a robust method of studying forest stands and their transformation as a result of climatic changes or human practices, but also the uses of wood as fuel and material. This method is based on the botanical identification of wood and charcoal preserved in archaeological sites. It is b
Fairness Constraints and Guarantees for Trustworthy Machine Learning – FaCTor
Machine Learning is one of the main driving force in Artificial Intelligence. It is nowadays used for decision making in medical applications, speech recognition, autonomous vehicles to cite a few examples. While machine learning can be very beneficial, the models that directly impact individuals co
Environmental Migrations and VOlcanic DIsasters in VAnuatu: a multiple perspective – EMVOLDIVA
This project comes at a time when social and ecological crises are about to increase, making it urgent to better understand the relationship between humans and their environment, especially when it is threatened by extinction. Vanuatu is the most exposed country to ‘natural’ disasters. Between 2017
Identifying the mechanisms that integrate cardiac interoception with exteroception – CAREX
The last 10 years have uncovered a treasure-trove of experimental evidence that cardiac signals influence exteroceptive (somatosensory, visual) sensory processing, through both cardiac cycle effects (CCEs) and heartbeat evoked responses (HERs). The interplay between exteroception and interoception i
AI-enabled Digital Pathology for Spatially Resolved Molecular Profiling – DAFNI
Le cancer est la principale cause de décès dans le monde. Ces derniers temps, les avancées dans le domaine de la médecine de précision ont modifié les normes de traitement du cancer en proposant de nouveaux plans de traitement personnalisés aux résultats prometteurs. Cette spécification du traitemen
New process approaches for efficiently producing L-rhamnose – RAh
L-Rhamnose (6-deoxy-L-mannose) is a rare monosaccharide exiting in nature but not easily accessible. It is described as a high value molecule for the food industry, pharmaceuticals, or nutraceuticals due to its unique physiological effects. Regarding a complex and expending market and the existing i
Silent Pitch – SilentPitch
Speech prosody, which includes intonation, rhythm and voice timbre, carries both expressive and speech structuring information. Pathologies (e.g. throat cancer) that affect vocal fold vibration and deprive patients of their control of intonation thus severely impact their intelligibility and social
Artificial intelligence for food-related emotions analysis – aiMotions
Emotions constitute an essential factor that significantly influences our behaviors. Eating behavior is no exception and the relationships between emotions and food are of great interest to the scientific community. Emotional states influence eating behavior including motivation to eat, food choice,
SLEEP monitorIng in premature NEwborns by multimodal data fusion and Self-Supervised approaches – SLEEPINESS
Preterm birth is a birth that occurred before 37 weeks of gestation. Because of the immaturity of all their physiological functions, premature babies are exposed to high morbidity, especially in terms of neurodevelopment. Their health status is evaluated through the continuous monitoring of several
Renouvable Energy Age : SOcial NoticeS – REASONS
The REASONS Chair, run in partnership between the CNRS and TotalEnergies, is based on the assumption that many energy transition measures (technologies, infrastructure) give rise to significant social debate. The chair aims to analyse these debates in order to understand the civic epistemology they
