Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...
Annotations were previously supported up until v3.5.0 (inclusive). Annotation support is complete, so if you plan on using them keep using v3.5 of this package. Global variables are set before each ...
Abstract: We proposed and developed a new MEMS variable capacitor that resembles the tunable-gap capacitor at first glance, but provides much better Q-factor thanks to reducing series resistance by ...
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