Abstract: Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, some of ...
Abstract: We propose physical unclonable function (PUF) operations using ferroelectric tunnel junctions (FTJs) and verify the effects of their dimension scaling on the PUF. First, device-to-device ...
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