From Theory to Practice: The Latest Developments in Neuromorphic Computing Applications

Artificial Neural Networks (ANNs) are conceptual models of biological neurons that were originally developed to tackle complex problems such as classification, pattern recognition, and forecasting through optimization. However, their high computational demands have raised concerns about the significant energy consumption associated with their use, particularly in large-scale problems and…

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