Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...
Abstract: This study investigates the Normalized Least Mean Squares (NLMS) and Variable Step-Size Least Mean Squares (VSLMS) algorithms to mitigate noise effects in underwater acoustic applications, ...
Abstract: Multi-scalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof protocols. To address this, we introduce FAMA, an FPGA-oriented MSM accelerator developed ...
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