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Dynamic Read Current Sensing With Amplified Bit-Line Voltage for STT-MRAMs., , и . IEEE Trans. Circuits Syst. II Express Briefs, 67-II (3): 551-555 (2020)In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview., , , , и . DAC, стр. 1-6. IEEE, (2020)PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM., , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 11 (4): 701-710 (2021)Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges., , , , , , , , и . Proc. IEEE, 108 (12): 2276-2310 (2020)i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs., , , , и . IEEE Trans. Circuits Syst., 67-I (12): 4651-4659 (2020)In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology., , и . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (1): 155-165 (2020)A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads., , , , , , и . CICC, стр. 1-2. IEEE, (2023)RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks., , и . ISLPED, стр. 61-66. ACM, (2020)Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM., , , , и . ACM Great Lakes Symposium on VLSI, стр. 371. ACM, (2019)GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks., , , , и . DAC, стр. 1-6. IEEE, (2020)