Neural nets are the way that machine learning figures things out by simulating a network of neurons in a human brain.
With today’s technology, a major limitation is the amount of “neurons” that exist in a standard sized machine learning system. According to Moore’s law, computer processing power continually increases. Machine learning systems will have the capability of matching or surpassing the number of neurons within the human brain in the next few years.
We will then be able to simulate human thinking and decision-making processes using an artificial brain. Many psychological concepts such as “unconscious bias” and “confirmation bias” will be modelled using artificial brains. This will increase our understanding of human thought processes. Exciting times for psychological studies.
