Amkor recognizes the need for transparent reporting, and we have been publishing annual reports to facilitate the disclosure of comparable, consistent, and reliable information about our initiatives ...

A new technical paper titled “All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices” was published by researchers at IBM Research-Europe.

Herein, we develop a programmable energy-efficient hardware implementation for Recurrent Neural Networks (RNNs) with Resistive Random-Access Memory (ReRAM) synapses and ultra-low power, area-efficient ...

Recently, resistive switching random access memory (ReRAM)-based hardware accelerators have demonstrated unprecedented performance compared to digital accelerators. However, due to limitations in the ...