Context Spiking neural networks are considered as the third generation of neural networks and could thus replace the conventional networks used in machine learning in order to reduce energy consumption of AI, especially in Edge applications.But taking advantage of SNN needs to efficiently parallelize their execution onto multiple neuromorphic (event-based) processors (NPU) according to the […]
Plus d'infoPhD: Adaptive and secure Spiking Neural Networks for autonomous connected objects Laboratoire d’accueil : LEAT, Campus SophiaTech, Université Côte d’AzurPériode : octobre 2025 – septembre 2028Encadrants : Alain PEGATOQUET (Professeur à Université Côte d’Azur), Benoit Miramond (Professeur à Université Côte d’Azur) Ghattas AKKAD (Maitre de Conférences à Université Côte d’Azur) et Matthieu GAUTIER (Professeur à […]
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'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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