A method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system. It aims to improve energy efficiency and computational power for AI tasks by mimicking biological neural architectures.
The concept was pioneered by Carver Mead in the late 1980s.
Neuromorphic chips like Intel's Loihi and IBM's TrueNorth are being used for edge AI applications, robotics, and sensory processing tasks.