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Neuromorphic Computing

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TL;DR. A computing paradigm that mimics the brain's neurobiological structure and operation to process information.

Technical Definition

A computing paradigm that mimics the brain's neurobiological structure and operation to process information.

How it works

Neuromorphic computing designs hardware and software systems inspired by the principles of biological brains, focusing on energy efficiency and parallelism. It aims to overcome the limitations of traditional Von Neumann architectures by integrating memory and processing. By using spiking neural networks and specialized chips, neuromorphic systems aspire to achieve high computational power with low energy consumption for AI tasks like pattern recognition and real-time learning.