Brain-inspired memristors open new pathways to energy-efficient artificial intelligence
https://www.eurekalert.org/news-releases/1151638 Summary: Neuromorphic memristors fabricated from oxide, ferroelectric, polymer, 2D layered materials execute in-memory computing by dynamically regulating electrical conductance states. Eliminating physical separation between data storage/ processing overcomes von Neumann latency, reducing AI power consumption by 2 orders of magnitude compared to GPUs. Integrating flexible memristor arrays into CMOS-compatible: edge-AI processors, artificial vision sensors, wearable neural interfaces.