Using randomness in a computing device to provide an answer. Traditional computers use processors (CPUs, GPUs, TPUs) that are extremely precise, and every effort is made to ensure that all transistors in the circuits open and close exactly when they should. One-hundred percent precision is required every second of every minute. See
CPU,
GPU and
Tensor Processing Unit.
Solve Stochastic Equations
Stochastic equations can solve problems faster for various scientific problems as well as AI training. Instead of eliminating noise, drift and randomness in the circuits, which are prerequisites in modern computers, stochastic computers employ those attributes purposefully to achieve results in a much shorter time using much less power.
Percentages of 1s and 0s
Instead of precise binary numbers, numbers are represented as probabilites. For example, the number 0.80 is represented as a string of 80 ones and 20 zeros in any order. Stochastic computing demands considerably less power that regular computing, and the accuracy is increased using longer bitstreams. See
Normal Computing.