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the architecture of the human brain. This project aims to co-develop algorithms for neuromorphic hardware, focusing on the inherent stochasticity in neuromorphic materials. This will pave the way towards solutions
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emulating the brain's efficient biological mechanisms through Spiking Neural Networks (SNNs), neuromorphic computing systems not only promise substantial energy efficiency but also enhance real-time
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Gutenberg University (JGU) Mainz, the Donders Institute for Brain, Cognition and Behaviour in Nijmegen, Fontys University of Applied Science in Eindhoven, SURF and IBM, combining expertise from experimental
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of neuromorphic computing seems to offer a transformative solution for achieving intelligence at the edge. By emulating the brain's efficient biological mechanisms through Spiking Neural Networks (SNNs
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impact of your research? We have a project for you! Neuromorphic computing is a way to do computations using hardware that mimics the architecture of the brain. Are you interested in a project at the
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of neuromorphic computing seems to offer a transformative solution for achieving intelligence at the edge. By emulating the brain's efficient biological mechanisms through Spiking Neural Networks (SNNs