This article discusses NIST’s work on neuromorphic systems, which are designed to mimic the brain’s structure and function. These systems use advanced technologies like superconducting single flux quantum (SFQ) and spintronics devices to create processors that can operate much faster than biological neural systems—up to a billion times faster. The goal is to better understand how the brain processes information and how it might malfunction.
NIST is also developing new measurement techniques, similar to functional MRI, to study how these synthetic neural systems work. This includes measuring how different parts of the system interact over time and space, which could help researchers understand memory and data processing in both artificial and biological systems. The project is still in development, with a focus on creating tools that will advance both neuroscience and computing technologies.
Source: https://www.nist.gov/programs-projects/neuromorphic-systems
Keywords: metrology, superconducting single flux quantum, spintronics
