Abstract: Computing-in-memory (CIM) improves energy efficiency by enabling parallel multiply-and-accumulate (MAC) operations and reducing memory accesses [1 –4]. However, today’s typical neural ...
Abstract: In this study, we designed a soft gripper with variable stiffness based on shape memory polymer (SMP) and giant electrorheological fluid (GERF). The soft gripper integrates electrostatic ...
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