What is neuromorphic computing?
Neuromorphic computing is a design approach that mimics the neural structure and functioning of the human brain.
How does it differ from traditional computing?
Unlike traditional computing, which uses a linear processing model, neuromorphic computing processes information in parallel, similar to how neurons work.
What are some applications of neuromorphic computing?
Applications include robotics, sensory processing, and real-time data analysis, enhancing efficiency and speed.
Are there any challenges in developing neuromorphic systems?
Yes, challenges include creating scalable architectures and developing algorithms that can effectively utilize neuromorphic hardware.
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