Neuromorphic Computing

Neuromorphic computing is a type of computing inspired by the human brain's structure and functioning. Unlike traditional computers that use a series of clear steps to process information, neuromorphic systems mimic how neurons and synapses work, allowing them to process information more efficiently and adaptively. This approach can enable machines to perform tasks like pattern recognition, sensory processing, and learning in real-time, similar to how humans think and react. Ultimately, neuromorphic computing aims to create more intelligent, energy-efficient systems capable of handling complex tasks that involve perception and decision-making.