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Found 2 papers, 1 papers with code
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
The deployment of machine learning algorithms on resource-constrained edge devices is an important challenge from both theoretical and applied points of view.
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware
We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the mathematics of hyperdimensional computing.
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