Recently, the research team led by Professor Zhao Weisheng from the School of Integrated Circuit Science and Engineering at Beihang University made a significant stride by publishing their latest scientific advancements in the esteemed journal Nature Communications. Their paper, titled "Nanoscale exchange-bias magnetic tunnel junctions enabled memristive synapse and leaky-integrate-fire neuron for neuromorphic computing", introduces a groundbreaking achievement. Leveraging exchange-biased magnetic tunnel junction devices, the team successfully demonstrated, for the first time, stable and controllable multiresistive state characteristics at the hundred-nanometer scale. They also constructed brain-inspired computing units that incorporate both synaptic and neuronal functionalities. This breakthrough paves the way for the development of high-density, low-power neuromorphic computing chips. The devices in question exhibited exceptional resistive state stability and dynamic control capabilities even at extremely small scales, overcoming the integration density and energy efficiency constraints that have long plagued traditional devices.