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Can you explain the concept of spiking neural networks and their implications for AI?
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Answer / Vinod Kumar Kanaujia
Spiking Neural Networks (SNN) are a type of artificial neural network that mimics the behavior of biological neurons. Instead of continuous activation values, SNNs use spikes or action potentials to represent information. This makes them more energy-efficient and better suited for real-time processing. SNNs have applications in areas such as deep learning, robotics, and cognitive computing.
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