Spiking Neural Networks (SNNs) process information using discrete spikes, similar to biological neurons, making them more energy-efficient.
SNNs operate using spikes rather than numerical representation, reducing redundant computations and improving data processing efficiency.
SNNs can benefit Generative AI by significantly reducing power consumption through spike-based computing.
Hybrid models that combine the energy efficiency of SNNs with the accuracy of Artificial Neural Networks (ANNs) have the potential to create powerful and energy-efficient AI.