Neuromorphic Computing: Bridging the Gap between Human Brain and Advanced Computation

Abstract

The rapid advancement of technology in contemporary society has led to unprecedented growth in data generation across various fields. This surge in data creation has necessitated a proportional increase in computational power for efficient processing. However, conventional computer systems are encountering limitations in handling extensive calculations and complex tasks. Drawing inspiration from the remarkable capabilities of the human brain, researchers are exploring novel avenues to augment computational capabilities. This paper delves into the emerging paradigm of neuromorphic computing, which seeks to replicate the intricate computational architecture of the human brain. Unlike conventional computers, the human brain boasts an exceptional capacity for parallel processing, owed largely to its intricate neural network configuration. Neuromorphic computers are engineered to emulate this neural structure, giving rise to a new generation of computing systems capable of cognitive tasks and data-intensive operation.