The development of artificial intelligence has been so rapid that it is difficult to predict what will happen in the future. There are two main directions of research: on the one hand, AI is being developed for human use, and on the other, it is being developed for controlling robots.

In order to train AI, a lot of data needs to be accumulated and analyzed. One method for generating this data is by using a neural network. A neural network is a mathematical construct that can learn from examples and can then be used to predict values based on previous input-output examples. The process of learning through repetition and prediction defines a neural network’s ability to learn from experience.

The more data there are in a particular domain, the better trained an individual neural network will be in making predictions