Neuromorphic Processor

Neuromorphic processors are computing devices designed to mimic the energy efficiency and computational power of the human brain, primarily using spiking neural networks (SNNs) and event-driven architectures. Current research focuses on improving the speed and energy efficiency of SNN inference through asynchronous multi-core designs and hardware-efficient attention mechanisms, as well as developing novel learning rules and encoding methods optimized for these platforms. This field is significant due to its potential to revolutionize energy-constrained applications like wearable AI and robotics by enabling real-time, low-power processing of complex sensory data.