Research Internship ProjectDevelopment of a prototype for embedded object detection with bio-inspired retinas on roboticplatforms Context The LEAT lab is leader of the national ANR project DeepSee in collaboration with Renault, Propheseeand 2 other labs in neuroscience (CERCO) and computer science (I3S). This project aims at exploring abio-inspired approach to develop energy-efficient solutions for image […]
Plus d'infoResearch Internship ProjectUnsupervised learning of robotic multimodal data Context LEAT lab has been working for several years on the design of bio-inspired neural models. One ofthem is inspired by the self-organization of the biological brain. This model named ReSOM has beenpreviously applied to the classification of multimodal data such as the representation of digits fromvisual, […]
Plus d'infoFrançois VerdierLaboratoire LEAT, francois.verdier@univ-cotedazur.fr Introduction In the field of intelligent objects, which are capable of retrieving a whole category ofinformation (such as the temperature of an aqueous solution, the pressure in oil pipes,identification badge numbers, reaction control in a nuclear power plant, etc.) andtransmitting it to a dedicated database via a wireless channel, we are […]
Plus d'infoResearch Internship ProjectEZBird – Training of embedded neural networks for bird song detection ContextThis internship subject takes place in the eBRAIN group of LEAT laboratory that works on EmbeddedBio-inspiRed Artificial Intelligence and Neuromorphic architectures.More specifically, it takes part a collaboration with CERN in Geneva in order to design, develop anddeploy a wireless sensor network to […]
Plus d'infoEnglish version available here. Partenaires : Equipe CMA du LEAT en collaboration avec la société NEXESSEncadrants : Aliou Diallo, Philippe Le Thuc, Robert StarajDomaine : RFID, antennes reconfigurablesDate de commencement : Février 2024Durée : 3 ansLieu : LEAT, Bât. Forum, Campus Sophia Tech, 930 route des colles, 06903 Sophia Antipolis, France Contexte : Les travaux […]
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