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SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
SpikeFit is a groundbreaking training method for Spiking Neural Networks (SNNs) that optimizes their deployment on neuromorphic hardware. This innovation is crucial as it addresses the specific constraints of such hardware, including the number of neurons and synapses, as well as the need for lower bit-width representations. By improving the efficiency of SNNs, SpikeFit could significantly enhance the performance of neuromorphic systems, making them more viable for real-world applications in artificial intelligence and beyond.
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