Neuromorphic chips offer several advantages over conventional digital processors. Firstly, they are highly energy-efficient, making them ideal for edge computing applications where power resources are limited. Secondly, they excel in tasks that require real-time processing and adaptation, such as pattern recognition and sensory data processing. Lastly, the parallel architecture of neuromorphic chips allows for massive scalability, making them suitable for complex applications like autonomous systems and advanced robotics.
