
Neuromorphic computing refers to a novel computing paradigm inspired by the structure and functionality of the human brain. Unlike traditional von Neumann architectures, neuromorphic systems aim to replicate biological neural mechanisms—such as spiking neurons and synapses—at the hardware level. By mimicking the brain’s event-driven, massively parallel, and energy-efficient processing capabilities, neuromorphic computing enables the development of intelligent systems that operate with unpreceden
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Brain-Inspired Computers: An Introduction to Neuromorphic Computing (1/3)By: Fatma Zehra AYTAŞ and İrem ALTUN【1】 For decades, computer technology has advanced at a dizzying pace predicted by Moore's Law. However, this golden age is now hitting its physical limits. The "bottleneck" created by the classic Von Neumann architecture is holding back our potential, as data transfer speeds can't keep up, no matter how fast our processors get. So, is there a way to overcome this bottleneck? This is where
ENFatma Zehra Aytaş