Discover the latest papers published by IUNET, the Italian Inter-UNiversity consortium for Nanoelectronics within the StorAIge project! Neural networks, Resistive switching memories (RRAM)…
- « End-to-end modelling of variability-aware neural networks based on resistive-switching memory arrays ». A. Glukhov, N. Lepri, V. Milo, A. Baroni, C. Zambelli, P. Olivo, E. Pérez, C. Wenger and D. Ielmini. (2022) IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC), 2022, pp. 1-5, 10.1109/VLSI-SoC54400.2022.9939653
- « An Energy-efficient In-Memory Computing Architecture for Survival Data Analysis based on Resistive Switching Memories (RRAM)« . A. Baroni, A. Glukhov, E. Pérez, C. Wenger, E. Calore, S. F. Schifano, P. Olivo, D. Ielmini and C. Zambelli Neurosci. 16:932270 (2022). 10.3389/fnins.2022.932270
- « Low Conductance State Drift Characterization and Mitigation in Resistive Switching Memories (RRAM) for Artificial Neural Networks ». A. Baroni, A. Glukhov, E. Perez, C. Wenger, D. Ielmini, P. Olivo and C. Zambelli, IEEE Trans. Device Mater. Reliability 22, 340-347 (2022), 10.1109/TDMR.2022.3182133
- « Roadmap on Neuromorphic Computing and Engineering ». D. V. Christensen, et al. Neuromorph. Comput. Eng. 2, 022501 (2022). 10.1088/2634-4386/ac4a83 2022
- « A multi-layer neural accelerator with binary activations based on phase-change memory ». M. Bertuletti, I. Muñoz-Martín, S. Bianchi, A. G. Bonfanti, and D. Ielmini IEEE Trans. Electron Devices (2023). 10.1109/TED.2022.3233292
