Research Internship ProjectDynamic and Adaptive Spiking Neural Network Solutions for Energy-Autonomous IoT nodes ContextAs the Internet of Things (IoT) continues to evolve, the integration of Artificial Intelligence (AI) withedge computing, i.e., Edge AI, emerges as a powerful synergy. This combination leverages MachineLearning (ML) algorithms to locally process sensor data, offering real-time intelligent decision-making.However, at this […]
Plus d'infoResearch Internship ProjectFPGA Based Parallel SNN Solution for Energy-Autonomous IoT nodes ContextAs the Internet of Things (IoT) continues to evolve, the integration of Artificial Intelligence (AI) withedge computing, i.e., Edge AI, emerges as a powerful synergy. This combination leverages MachineLearning (ML) algorithms to locally process sensor data, offering real-time intelligent decision-making.However, at this level of […]
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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