  Lagrange coded computation (LCC) is essential to solving problems about
matrix polynomials in a coded distributed fashion; nevertheless, it can only
solve the problems that are representable as matrix polynomials. In this paper,
we propose AICC, an AI-aided learning approach that is inspired by LCC but also
uses deep neural networks (DNNs). It is appropriate for coded computation of
more general functions. Numerical simulations demonstrate the suitability of
the proposed approach for the coded computation of different matrix functions
that are often utilized in digital signal processing.
