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A 65nm 376nA 0.4V linear classifier using time-based matrix-multiplying ADC with non-linearity aware training., и . A-SSCC, стр. 309-312. IEEE, (2017)Efficient Signal Reconstruction via Distributed Least Square Optimization on a Systolic FPGA Architecture., , , , и . ICASSP, стр. 1493-1497. IEEE, (2019)Energy-Recovery Techniques to Reduce On-Chip Power Density in Molecular Nanotechnologies., , и . IEEE Trans. Circuits Syst. I Regul. Pap., 52-I (8): 1580-1589 (2005)Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation., , , и . AICAS, стр. 208-212. IEEE, (2020)XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator., , , и . AICAS, стр. 36-40. IEEE, (2020)OPTIMO: A 65-nm 279-GOPS/W 16-b Programmable Spatial-Array Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers., , , и . IEEE J. Solid State Circuits, 55 (3): 629-638 (2020)A Survey of FPGA-Based Robotic Computing., , , , , , , и . CoRR, (2020)Online Reward-Based Training of Spiking Central Pattern Generator for Hexapod Locomotion., , , и . VLSI-SOC, стр. 208-209. IEEE, (2020)Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity., и . VLSI-SoC, стр. 1-2. IEEE, (2022)EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures., , , , , и . ACM J. Emerg. Technol. Comput. Syst., 18 (1): 4:1-4:17 (2022)