Abstract: In this article, a geometry-informed neural operator (GINO) with learnable activation functions is proposed. It incorporates a data-driven approach for solving the electric field integral ...
Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...
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