Hybrid memristor/ ferroelectric capacitor based memory enables energy-efficient AI that can autonomously learn and make accurate predictions

https://techxplore.com/news/2025-10-memristor-ferroelectric-memory-energy-efficient.html

"share similar structural stack... memristors apply trained models, offering energy efficiency during read operations/ supporting in-memory computing... ferroelectric capacitors: store information via electric field switchable reversible ferroelectric polarization, endurance/ extremely low energy consumption during programming... integrates silicon-doped HfO₂ (of FeCAPs) with titanium scavenging layer (of memristors)... efficient machine learning, stores analog weights, edge AI without forgetting prior knowledge"