What is neuromorphic architecture?
Neuromorphic architecture refers to computing systems designed to mimic the neural structure and functioning of the human brain.
How does it differ from traditional computing?
Unlike traditional computing, which relies on sequential processing, neuromorphic systems use parallel processing and are more efficient for certain tasks.
What are some applications of neuromorphic computing?
Applications include robotics, sensory processing, and real-time data analysis, particularly in AI and machine learning.
Are there any challenges in developing neuromorphic systems?
Yes, challenges include creating scalable hardware, developing effective algorithms, and integrating with existing technologies.
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