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A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training., , и . IEEE J. Solid State Circuits, 53 (11): 3163-3173 (2018)A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array., , и . ESSCIRC, стр. 263-266. IEEE, (2017)Supply chain planning and innovation performance: the moderated mediation effect of IT usage., , , и . Ind. Manag. Data Syst., 122 (11): 2465-2484 (2022)Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing., , и . Proc. IEEE, 108 (12): 2251-2275 (2020)An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks., , , и . ICASSP, стр. 1037-1041. IEEE, (2015)A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference., , , , , , , , , и 33 other автор(ы). VLSI Circuits, стр. 1-2. IEEE, (2020)A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS., , , , , , , , , и 6 other автор(ы). VLSI Technology and Circuits, стр. 1-2. IEEE, (2023)RaPiD: AI Accelerator for Ultra-low Precision Training and Inference., , , , , , , , , и 44 other автор(ы). ISCA, стр. 153-166. IEEE, (2021)ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation., , и . IJCNN, стр. 1-8. IEEE, (2021)Energy-Efficient Deep In-memory Architecture for NAND Flash Memories., , , , , и . ISCAS, стр. 1-5. IEEE, (2018)