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Neuromorphic chips process information similarly to the human brain.
These chips are designed to imitate neural networks for efficient computing.
relating to or denoting a type of computer architecture that mimics the structure and function of biological neurons
Neuromorphic engineering aims to create brain-inspired computing systems.
This field focuses on developing hardware that operates like neural networks.
Neuromorphic systems are used in AI, robotics, and sensor networks for energy-efficient processing.
Neuromorphic systems process information in parallel, similar to how the brain works.
This is a specialized term in computer engineering and AI research.
From Greek 'neuron' (nerve) + 'morphic' (form/shape), coined in the 1980s by Carver Mead.
Primarily used in discussions about advanced computing and AI technologies.