Artificial neural networks can be implemented as either software or hardware, functioning as algorithms that can run on general-purpose processors or specialized hardware. Currently, hardware implementations of neural networks are not common, as general-purpose computers are sufficiently fast, making software a more practical choice. Despite the efficiency of physical neural networks, which maintain consistent speed regardless of knowledge accumulation, software-based systems may slow down with increased complexity, particularly in AI types like expert systems. Neural networks, however, retain their performance regardless of the amount of information processed.