Researchers use magnetic systems to artificially reproduce
the learning and forgetting functions of the brain

With the advent of Big Data, current computational
architectures are proving to be insufficient. Difficulties in
decreasing transistors’ size, large power consumption and limited
operating speeds make neuromorphic computing a promising
alternative.