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Open AccessA low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computi...
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Open AccessEcho state graph neural networks with analogue random resistive memory arrays
Recent years have witnessed a surge of interest in learning representations of graph-structured data, with applications from social networks to drug discovery. However, graph neural networks, the machine learn...
