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Algebraic Aspects of Mapping Class Groups and Related Groups – AlMaRe
The mapping class groups of Riemann surfaces play a predominant role in several fields of mathematics, including algebraic geometry, differential geometry and low-dimensional topology. By a classical result of Dehn, Nielsen and Baer, these groups can be identified with the outer automorphism groups
Stopping cognitive decline and dementia by fighting covert cerebral small vessel disease
La maladie des petites artères cérébrales (MPAC) est une des principales causes d’AVC et le principal contributeur vasculaire au risque de démence. Les lésions de MPAC sont très fréquentes en imagerie cérébrale en population générale, en l’absence d’AVC clinique (MPAC occulte), leur prévalence augme
DEEP Learning For Large Deep Imaging Programs – DEEPDIP
Understanding the origin of the accelerated expansion of the Universe, the formation of the large-scale structure and the galaxies embedded in it are the quests of modern cosmology. Huge observational and theoretical efforts are being made to address these fundamental questions. In this proposal, we
Cooperation between Driver and Intelligent Automated Vehicle – CoCoVeIA
The challenges for automating vehicles in situations other than lane keeping and interdistance regulation require that systems be upgraded to have the necessary skills to control the vehicle in complex cases such as crossroads or roundabouts. But how to make sure that the developments do not last fo
identifying GENetic factOrs influencing the development of VAScular aneurysms in autosomal dominant Polycystic Kidney Disease – GENOVAS-PKD
Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease, with an estimated prevalence of ~1 in 1000 to 1 in 2500 individuals. Its course is characterized by the development of multiple kidney cysts, causing progressive loss of kidney function and frequently
Socio-Ecological Approach of Dog-borne zoonotic diseases in Southeast Asia – SEA-dog-SEA
The general objective of SEA-dog-SEA project is to collect and analyse new epidemiological, ecological and social data on dog-human relationships in rural and semi-urban areas in three countries in SEA, in order to design improved awareness, surveillance and control programmes of major dog-associate
Data and Prior, Machine Learning and Control – DeLiCio
We combine machine learning (ML) and control theory (CT) and address problems in control from two perspectives: - What can be modelled (CT) and what needs to be learned (CT)? - Can we provide, estimate or guarantee stability (CT)? - Can we estimate the complexity of the learning task and or the a
Artificial and Natural Intelligence Toulouse Institute
Coordonné par l'Université de Toulouse, ANITI rassemble aujourd'hui 12 partenaires académiques (établissements de recherche, universités et écoles d'ingénieurs) et 31 partenaires industriels et est soutenu par la Région Occitanie et Toulouse Métropole. Notre objectif peut être rés
3IA Côte d'Azur
L’Institut 3IA Côte d’Azur a démarré le 1er septembre 2019 sous la coordination d’Université Côte d’Azur, aux côtés du CNRS, Inria, Inserm et Eurecom. SKEMA Business School avait ensuite rejoint le consortium en 2021. L’année 2022 a été marquée par l’évaluation à la mi-parcours de l’i
PaRis Artificial Intelligence Research InstitutE
Créé en 2019 par le CNRS, Inria, l'Institut Pasteur, l'Université PSL, l'Université Paris Cité, et un club de partenaires industriels, PRAIRIE (PaRis Artificial Intelligence Research InstitutE) est l'un des 4 Instituts interdisciplinaires de recherche en intelligence artificielle (« 3IA ») mis en pl
