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Exploring Neuromorphic Computing and its Challenges in AI Development
The chapter delves into neuromorphic computing, aiming to replicate the brain's structure and information processing in synthetic systems. It discusses challenges in creating stable learning systems that mimic the biophysics of neurons and compares them with deep learning models based on mathematical algorithms like backpropagation.