Artificial neural networks function in a very different way than traditional computers. Artificial neural networks continue to learn from new instances and then develop rules. Normal computers, on the other hand, have pre-programmed rules and regulations that govern how they operate. Each computer's speed is determined by the CPU's features. Normal computers require large processors or the time-consuming, error-prone concept of parallel processors, whereas neural networks necessitate the usage of tailored multiple chips designed specifically for the application.