黑料网

Abstract

Neuromorphic computing is a transformative approach to computing that seeks to replicate the structures and functions of the human brain to solve complex computational problems. Unlike traditional computing, which relies on sequential processing, neuromorphic computing mimics the brain’s parallel processing capabilities, enabling energyefficient computation and improved problem-solving for tasks such as pattern recognition, decision-making, and learning. This article explores the principles of neuromorphic computing, its advantages over conventional computing, key technologies, challenges, and its future applications in fields like artificial intelligence, robotics, and autonomous systems.