Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...

Abstract: The presented research proposes an approach to detect stealthy false data injection (FDI) attacks on AC/DC state estimation. The residual-based bad data detector’s capabilities to detect bad ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...