Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...
Abstract: Fine grain reconfigurability carried out at the transistor level, i.e. the ability to switch between n- and p-type operation, offers new possibilities for highly efficient logic gates. In ...
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