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Analyzing Large Scale Geometric Data Collections – AIGRETTE
Our ultimate goal is to design novel learning techniques capable both of handling geometric data directly and of combining and integrating different data sources into a unified analysis pipeline. Achieving these goals will require developing new techniques for both representing geometric data in
Antibodies for medicine
MI-mAbs, grâce au transfert de technologies de ses partenaires fondateurs (AMU, INSERM, CNRS, Sanofi, Innate Pharma) maîtrisait des technologies clés dans le domaine de la production et de l'ingénierie des anticorps et de leur pharmacologie. Pour une cible donnée, en deux ans, MI-mAbs pouvait génére
Antimicrobials in agriculture: actors, practices, conflicts – AMAGRI
The problem of antimicrobial resistance is partly based on the overuse and misuse of antibiotics in livestock farming. Antimicrobial resistance policies have focused mainly on antibiotic prescription and use, without addressing the structural determinants of the veterinary drug market. However, ther
Approach of Solar Integration in the Built
L'EUR Solar Academy gagne en visibilité nationalement et internationalement. En effet, d’un point de vue de l’enseignement par et pour la recherche, nous constatons une augmentation de la diversité d’origine des intrants en terme de nationalité et en terme de formation initiale (physique, énergé
Approximate Bayesian solutions for the interpretation of large datasets and complex models – ABSint
Our central purpose is to rovide a wider and generic array of statistical tools able to handle “big data” without jeopardising either the depth of the statistical analysis or the precision of the statistical predictions derived from such data. The impacts of the project are two-fold: (1) scienti
Approximating Deep Learning Accelerators – AdequateDL
The computational workload involved with convolutional neural networks (CNNs) for deep learning (DL) is often out of reach for low-power embedded devices and is still very costly when run on data centers. By relaxing the need for fully precise operations, approximate computing substantially improves
Architecture of complex systems in intelligent immersion – ArchiTOOL
To address the limitations of current systems engineering tools, the project is based on three complementary technological levers: virtual reality, intelligent assistance, and unified interactive modeling. On one hand, an immersive virtual reality environment was developed to replace low expressiven
Artificial Intelligence-based Adaptative Security for Sovreign Clouds – RÉSILIENCE
The RÉSILIENCE LabCom project aims to consolidate a long-standing collaboration between Oodrive, the French leader in sensitive data management, and the L3i laboratory of La Rochelle University. This association, active for more than eight years, has already led to the defense of a doctoral thesis i
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
Ascending smoke vortices in the stratosphere – ASTuS
The major volcanic eruptions of the past (Lakki 1784, Tambora 1815, Krakatoa 1883, Pinatubo 1991) disrupted the climate over periods of several months to a few years. Other less significant eruptions (Sarychev 2009, Nabro 2011, Calbuco 2025, Raikoke 2019, …) induced an instantaneous radiative distur
