Random points refer to specific locations or values that are selected without any particular pattern or predictability. In mathematics and statistics, these points can be used in various applications, such as sampling or simulations, where the goal is to represent a larger set of data. The randomness ensures that each point has an equal chance of being chosen, which helps in achieving unbiased results. In computer science, random points are often generated using algorithms that produce pseudo-random numbers. These numbers can be used in computer graphics to create realistic images or in machine learning to train models. By incorporating random points, researchers and developers can explore a wide range of possibilities and improve the robustness of their solutions.