Abstract: This paper presents a novel approach to estimating Sigmoid and Tanh activation functions using Artificial Neural Networks (ANN) optimized for homomorphic encryption. The proposed method is ...

Abstract: Multilinear transformations are fundamental in high-performance computing (HPC) and artificial intelligence (AI), but their computational and memory demands grow rapidly with dimensionality.

Big benefit of the plugin is that authors of Reqnroll tests can maintain coherence and relationship between data points (great in finance), across multiple steps. They can generate data (numbers, ...