A Random Lesson For AI Agents From Monte Carlo

In addition to performing calculations on numbers such as “7” or “0.0094”, as traditional processors or GPUs do, Signaloid’s accelerator also performs calculations directly on probability distributions. ... The second and third key innovations are a suite of patent-pending efficient digital representations for these probability distributions which are said to be guaranteed to scale more efficiently in their hardware requirements than Monte Carlo methods when applied to ever-larger workloads and efficient calculation routines for performing calculations on these digital representations.