According  to the authors, artificial intelligence is applied when a machine mimics “cognitive” functions that humans associate with other human minds such as “learning” and “problem solving”.  So  Han Wang, Jing  Guo  and Colleagues reported in American Chemical Society(ACS) NANO , that  they were successful in developing an artificial lab-made synapse, which was flexible and diverse and  has the capacity of simulating a primal function of our nervous system, i.e., the release of both excitatory and inhibitory signals from the same pre-synaptic  terminal. . This amassed huge demand and popularity  in artificial neural networks and it simplified the design and role of nervous simulations. Read more at https://www.sciencedaily.com/releases/2017/06/170628095814.htm