Neuromorphic computing is the use of the human brain as design inspiration for computer systems, and has been steadily gaining interest since the 1980’s. Its potential to improve both speed and energy efficiency in computing, and subsequently supercomputing, make neuromorphic computing a thriving area of interest.
While not attempting to directly copy the human brain, neuromorphic computing draws inspiration from neurons and synapses to develop new means of computation and information transfer. Innovation is an important part of the field of neuromorphic computing, and Francisco Barrera, associate professor of Biochemistry & Cellular and Molecular Biology, is bringing a new approach to chip development. Continue reading