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'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'infoA post-doctoral position is available at Université Côte d’Azur! “Online/Incremental Learning for Spatial Applications” [Please find the full description in the pdf enclosed] Keywords: Artificial Intelligence, Online learning, Incremental/Continual Learning, Influence functions, data pruning, federated learning Mission: Executing machine learning (ML) algorithms on satellite could offer many advantages. It will indeed reduce the required bandwidth, […]
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