Integrating Neuromorphic Computing with Artificial Intelligence

The principles of neuromorphic computing align effectively with the characteristics and requirements of artificial intelligence systems. They not only boost the processing capabilities of AI but also address challenges like the high power consumption of AI systems and data transfer bottlenecks. Integrating neuromorphic computing with artificial intelligence is mainly achieved by employing neuromorphic algorithms, which include:

• Spiking Neural Networks (SNN),

• Advanced algorithms.