HIGHLIGHTS
- who: Rachmad Vidya Wicaksana Putra from the Politecnico di Torino, Italy Polytechnic University of Turin, Italy have published the paper: EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems, in the Journal: (JOURNAL)
- what: In the case study, the authors aim at studying the dynamics of DRAM bitline voltage (Vbitline ) for both the accurate and frontiersin.org 10.3389/fnins.2022.937782 (A) Accuracy profiles of small-sized and large-sized SNN models on the MNIST dataset which are obtained from the experiments . To overcome the above research . . .
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