The current state of artificial intelligence allows systems to also learn from their own experience (Kurzweil 2011). For example, Google's autonomous cars (which have driven over 140,000 miles through cities and towns in California) have learned from their own driving experience as well as from Google's cars driven by humans. The deep learning technique is related to this example, as large amounts of data are stored in the system's database. Therefore, Artificial Intelligence could keep track of its own data held by the experience of itself. Basically, this technique mimics the functioning of the human brain (Jones 2014, p. 146). The only difference is that the normal human brain is limited to a certain extent, while the AI ​​system could be able to quickly store and store the data in its database and use it at any time without recall problems. That's why Artificial Intelligence is one step ahead