Analog acceleration of deep learning using phase-change memory - ScienceDirect
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Compute-in-Memory Technologies and Architectures for Deep Learning Workloads
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads
Synapses based on phase change memory. (a) A phase change memory device
Accelerating Deep Neural Networks with Analog Memory Devices
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials - Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc Gonzalez
Machine learning and blockchain technologies for cybersecurity in connected vehicles - Ahmad - WIREs Data Mining and Knowledge Discovery - Wiley Online Library
Accurate deep neural network inference using computational phase-change memory
Improvement of pattern recognition in spiking neural networks by modifying threshold parameter and using image inversion
SDC2020: Analog Memory-based Techniques for Accelerating Deep Neural Networks
Emerging phase change memory devices using non-oxide semiconducting glasses - ScienceDirect
Analog memristive synapse based on topotactic phase transition for high-performance neuromorphic computing and neural network pruning
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