Neuromorphic Engineering and Nanoscale Computing
Authors:-Sudhir Sharma
Abstract:- Neuromorphic engineering and nanoscale computing are two rapidly evolving fields that together promise a revolutionary shift in computational paradigms. Neuromorphic systems aim to mimic the structure and functionality of biological neural networks, offering highly efficient, adaptive, and parallel processing capabilities. Simultaneously, nanoscale computing explores the use of materials and devices at nanometer dimensions to overcome limitations in traditional semiconductor technologies and achieve ultra-compact, low-power hardware solutions. When integrated, nanoscale devices—such as memristors, nanowires, carbon nanotubes, and quantum dots—can serve as artificial neurons and synapses, enabling the development of neuromorphic hardware that combines high performance with energy efficiency.
