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Embedded Artificial Intelligence and Endoscopic Capsule – ICI-Lab
The ICI-Lab joint laboratory, a partnership between LIP6 and the company BodyCAP, aims to study and develop smart biomedical electronic devices to aid in the diagnosis of diseases of the intestinal tract. The ICI-Lab benefits from scientific expertise in AI and in embedded systems for biomedical dev
Weakly supervised learning and efficient deep models deployed on an ROV for the detection and the classification of underwater objects – ROV-Chasseur
With 18,000 km long coastlines and more than 11 millions km^2 of the exclusive economic zone (EEZ), the French maritime environment has a significant impact not only on the social and economic side but also on the side of defense. The second world EEZ cannot be ignored, but our means of patrol and
Programme de formation en Intelligence Artificielle de Paris-Saclay
L’Université Paris-Saclay réunit un écosystème unique de formation dans le domaine de l’Intelligence Artificielle (IA) avec plus de 500 unités d’enseignement relatives à l’IA dans plus de 65 parcours. SaclAI-School est porté par l’Institut d’Intelligence Artificielle de l’Université, DATAIA, qui s’a
A smart wing for the automated and low-cost aerial monitoring of marine megafauna – SMART-WING
Marine megafauna includes marine mammals, sea turtles, sharks and rays that are increasingly threatened worldwide. These species occur at low densities over vast areas so an efficient and large-scale monitoring method is urgently needed to identify and protect their critical habitats. Drones are eme
Plasmonic ElectroChromic Materials for Dual-Band VIS-NIR Smart LABELling – PECLABEL
Active plasmonic devices have recently emerged as smart electronic and light management technologies with tunable optical characteristics. Highly doped metal oxide nanocrystals exhibit charge carrier densities leading to pronounced localized surface plasmon resonances (LSPR) in the near-infrared (NI
Railway EffIcieNcy Fostered by Operations ResearCh EmpoweRing Articificial InteLligence – REINFORCERAIL
In REINFORCERAIL, we aim to combine Artificial Intelligence (AI) and Operations Research (OR)-based approaches for railway traffic management. In particular, we address two research questions: 1. How can AI help find traffic management decisions in real-world circumstances: within short times and
Auvergne Laboratory for IoT Applied to the Environment – IoTAE-Lab
The joint laboratory IoTAE-Lab is the result of collaboration between the Federation of Environmental Research (FRE), whose objectives are the development of interdisciplinary projects and the pooling of research resources in the field of the environment and in which eight laboratories from the CNRS
MonPsy&AI – MonPsyAI
The mental health challenge is, first and foremost, an organizational one. In a context marked by a shortage of professionals and fragmented care pathways, current practices and systems are overwhelmed and no longer meet the growing needs of the population. Despite being essential, the perspective o
GeoSpatial and Artificial intelligence technologies: InnovatiVE approach for water resources management – SAVE water
In many regions of the world, including the Mediterranean and European areas, water needs for irrigation and municipal use are expected to increase. Ensuring these growing needs, in thie context of climate change, constitutes a major challenge, especially in the Mediterranean area. The situation is
Robotized Additive Manufacturing for Silicone assisted by an Artificial Intelligence – RAMSAI
The factory of the future must ensure flexible, reliable, and efficient production. For the production of silicone parts, current processes based on molding and injection techniques do not meet these requirements. For this flexible material (silicone), the rheological behavior during deposition in A
