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Robust quantum dots charge autotuning using neural networks uncertainty., , , , , , , , , и 3 other автор(ы). CoRR, (2024)Towards scalable cryogenic quantum dot biasing using memristor-based DC sources., , , , , , , и . CoRR, (2024)In-Memory Vector-Matrix Multiplication in Monolithic Complementary Metal-Oxide-Semiconductor-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives., , , , , , , , и . Adv. Intell. Syst., 2 (11): 2000115 (2020)Miniaturizing neural networks for charge state autotuning in quantum dots., , , , , , , , , и 1 other автор(ы). Mach. Learn. Sci. Technol., 3 (1): 15001 (2022)Chip to wafer copper direct bonding electrical characterization and thermal cycling., , , , , , , , и . 3DIC, стр. 1-7. IEEE, (2013)Fully CMOS-compatible passive TiO2-based memristor crossbars for in-memory computing., , , , , , , , , и . CoRR, (2021)Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition., , , , , и . ICONS, стр. 29:1-29:8. ACM, (2021)A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses., , , , , , , , , и . CoRR, (2023)Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity., , , , , , , и . Neuromorph. Comput. Eng., 3 (1): 14001 (марта 2023)