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IEEE/ICACT20240037 Slide.04        [Big Slide]	Oral Presentation
	Therefore, SNN can be an attractive method for implementing AI in embedded systems with these limitations. The implementation of Spiking neural networks (SNNs) offer a distinct advantage over other AI technologies, primarily due to their low-power operation. Neuromorphic chips that implement spiking neural networks (SNNs) mostly operate at low power, providing a distinct advantage over other AI technologies. So, Spiking neural networks (SNNs) are a highly promising AI technology for embedded systems, owing to their energy-efficient properties. However, the manual implementation of SNNs encounters practical challenges because of the all-to-all connections in large networks. I will explain these challenges in detail.

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