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GeoAI-based AugmenTation of muLti-source urbAn GIS – ATLAS
Taking full advantage of the wealth of geospatial data available nowadays is a major scientific and technological challenge, with significant societal and economic impacts. The multidisciplinary ATLAS project is set in this context and aims to augment the expressiveness and quality of geographic i
Dynamics of nonlinear dendritic computation in cortical pyramidal neurons and interneurons – DyndriteSymphony
The computational power of biological neurons in the mammalian cortex far surpasses that of their artificial counterparts due to their intricate dendritic structures and dynamic, active mechanisms. These structures give rise to a complex interplay between gradient and all-or-none mechanisms allowing
Open, integrative, and extendable, artificial intelligence and knowledge graphs framework for functional and actionable metabolomics – MetaboLinkAI
MetaboLinkAI aspires to revolutionize the analysis and interpretation of metabolomics data through a multidisciplinary approach that combines a comprehensive knowledge graph hub (MetaKH) with cutting-edge artificial intelligence (AI) and machine learning (ML) techniques. The project's main goals are
Scheduling adaptive HPC jobs to navigate through the energy doldrums – EnergyDoldrums
High-performance computing (HPC) is crucial for advancements in science and engineering, and the demand for it has surged with the rise of artificial intelligence (AI). However, challenges such as escalating electricity costs and the need to reduce carbon emissions pose constraints on computing reso
Secure vital signs and Location estimation: A smart health vision via RF sensing – SecLoc
With the wide-scale proliferation of wireless communication and ubiquitous computing, radio frequency (RF) sensing has emerged as a key enabler for myriad cutting-edge applications in the domain of digital health. SecLoc project positions itself at the technological forefront, aiming to tackle the c
Generative Artificial Intelligence Laboratory for Agent-based Search Orchestration – LIAGORA
CentraleSupélec's MICS laboratory and ILLUIN TECHNOLOGY are joining forces to create a LabCom. Its aim is to enable the deployment and use of Generative AI within companies, while guaranteeing the use of trusted and frugal systems. Capable of creating original content, formulating knowledge-based an
Impact-BAsed Surgical InstruMentation using Artifical Intelligence – IBAM
Over the last 40 years, surgical procedures involving modifications of bone tissue such as the implants surgery or osteotomies have experienced rapid development, particularly because of the increase in life expectancy. However, the instrumentation used during these surgical procedures has remained
Optimization of analysis performances using different non-destructive testing techniques – OPTEND
The LabCom OPTEND project (“Optimisation des Performances d'analyses par l'utilisation de différentes Techniques d'Essais Non Destructifs”) aims to develop advanced tools for performing defect analysis on high value-added metal parts, using non-destructive testing (NDT) techniques such as magnetic p
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
Embedded multi-sourCE analySis for the exploration of the underwAteR environment (CESAR) – CESAR
Human knowledge of the underwater environment are limited and does not allow industrial exploitation nor ecosystem monitoring. This project foccus on the exploration of complex environments by cross-referencing multimodal data for decision-making support and knowledge improvement. More specifically,
