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Energy Efficient Neural Computing: A Study of Cross-Layer Approximations., , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (4): 796-809 (2018)Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays., , , , , , and . IEEE Trans. on Circuits and Systems, 66-I (8): 3064-3076 (2019)X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories., , and . CoRR, (2017)Ising spin model using Spin-Hall Effect (SHE) induced magnetization reversal in Magnetic-Tunnel-Junction., , and . CoRR, (2016)CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect., , , , and . CoRR, (2021)Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets., , , and . CoRR, (2016)MESL: Proposal for a Non-volatile Cascadable Magneto-Electric Spin Logic., and . CoRR, (2016)Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM., , , , and . ACM Great Lakes Symposium on VLSI, page 371. ACM, (2019)Spin transfer torque memories for on-chip caches: Prospects and perspectives., and . LATS, page 7. IEEE, (2016)Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays., , , , and . CoRR, (2018)