Abstract: Neural networks (NNs) have emerged as powerful tools for accelerating the design of frequency-selective surfaces (FSSs) due to their fast prediction of electromagnetic (EM) responses.
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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