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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
The higher speed, scalability and parallelism offered by ReRAM crossbar arrays foster development of ReRAM-based next generation AI accelerators.
Resistive Neural Hardware Accelerators
The review covers different aspects of hardware and software realization of DNN accelerators, their present limitations, and future prospectives.
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM
The automated wafer inspection and quality control is a complex and time-consuming task, which can speed up using neuromorphic memristive architectures, as a separate inspection device or integrating directly into sensors.
Memristive LSTM network hardware architecture for time-series predictive modeling problem
allows to model systems with multiple input variables and control several parameters such as the size of the look-back window to make a prediction and number of time steps to be predicted.
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