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Exploring Spin Transfer Torque Devices for Unconventional Computing.

, , , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 5 (1): 5-16 (2015)

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Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives., , , , , , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 35 (1): 1-22 (2016)Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers., , and . CoRR, (2013)TBT: Targeted Neural Network Attack with Bit Trojan., , and . CoRR, (2019)Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic., , and . CoRR, (2014)Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks., , and . IEEE Trans. Multi-Scale Computing Systems, 4 (3): 463-476 (2018)Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing., , , and . IEEE Trans. Neural Netw. Learning Syst., 27 (9): 1907-1919 (2016)IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network., and . NCS, page 3:1-3:8. ACM, (2017)IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network., , , and . ASP-DAC, page 111-116. IEEE, (2018)CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator., , , and . DAC, page 105:1-105:6. ACM, (2018)Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction., , and . ICCD, page 439-446. IEEE Computer Society, (2017)