What are the differences between neuromorphic and classical computing?

What are the differences between neuromorphic and classical computing?

Classical computing uses binary logic and is based on the von Neumann architecture, while neuromorphic computing mimics the human brain's neural networks.

Can you explain how neuromorphic computing works?

Neuromorphic computing uses artificial neurons and synapses to process information in a way similar to biological brains, allowing for more efficient data processing.

What are the advantages of neuromorphic computing over classical computing?

Neuromorphic computing offers advantages like lower power consumption, faster processing for certain tasks, and better handling of parallel processing.

Are there any real-world applications of neuromorphic computing?

Yes, neuromorphic computing is being explored in areas like robotics, sensory processing, and real-time data analysis.