Measurement results of the array of three-terminal-based electrochemical memory devices, demonstrating excellent characteristics in both cycle and device-to-device scatter, well above the requirements ...

A schematic representation of in-memory computing using electrochemical memory devices (ECRAMs) arranged in a cross-point array structure, mimicking the way synapses in the brain process information.

(Nanowerk Spotlight) 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 ...

Researchers from Korea University and POSTECH have demonstrated how analog hardware using ECRAM devices can maximize artificial intelligence's computational performance, showcasing its potential for ...

A technical paper titled “Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator” was published by researchers at Pohang University of Science and ...

Scientists develop next-generation semiconductor technology for high-efficiency, low-power artificial intelligence. A research team, consisting of Professor Seyoung Kim from the Department of ...