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Overseeing greenhouse gas emissions reduction in line with the science-based targets (SBTs), including a strategy to accelerate the procurement of renewable energy at Amkor's sites globally.
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 ...
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