Brain-inspired chip integrates trainable neurons for ultra-efficient computing

The human brain's remarkable efficiency and cognitive abilities have long inspired researchers to create computing systems that can rival its performance. Yet, despite significant advancements in artificial intelligence algorithms and hardware, the gap between the efficiency of biological neural networks and their artificial counterparts remains significant.