中国P站

Abstract

Neuromorphic computing aims to emulate the brain’s structure and function for efficient information processing, moving beyond conventional Von Neumann architectures to address the growing demand for energy-efficient Artificial Intelligence (AI). This field integrates neuroscience and AI, exploring advancements in novel materials, devices like memristors, and brain-inspired architectures. The research discusses challenges in scaling these systems and outlines future directions for developing scalable, energy-efficient neuromorphic hardware capable of handling complex AI tasks and revolutionizing computing