Context This internship subject takes place in the EDGE team of LEAT laboratory that traditionally works on Edge computing and digital systems. More specifically, it takes part a collaboration with CERN in Geneva in order to design, develop and deploy a wireless sensor network to monitor the biodiversity on the campus of CERN in Switzerland. […]
Plus d'infoResearch 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 ProjectAn energy proportional neuromorphic solution for SpikeNets. ContextSpiking neural networks are considered as the third generation of neural networks and could thusreplace the conventional networks used in machine learning in order to reduce energy consumptionof AI, especially in Edge applications.But taking advantage of SNN needs to efficiently parallelize their execution onto multipleneuromorphic (event-based) […]
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 […]
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