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Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error., , , , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (4): 1052-1061 (December 2023)An analog-AI chip for energy-efficient speech recognition and transcription., , , , , , , , , and 14 other author(s). Nat., 620 (7975): 768-775 (2023)Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation., , , , , , , , , and 21 other author(s). IRPS, page 1-6. IEEE, (2021)A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference., , , , , , , , , and 19 other author(s). CoRR, (2022)Gradient descent-based programming of analog in-memory computing cores., , , , , , , , , and 4 other author(s). CoRR, (2023)Physics and applications of magnetic interactions in topological insulators. University of Illinois Urbana-Champaign, USA, (2018)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , and 11 other author(s). IRPS, page 1-10. IEEE, (2023)