Hirtzlin, Tifenn

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays

Hirtzlin, T., Bocquet, M., Penkovsky, B., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2020) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 93

Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

Jebali, F., Majumdar, A., Turck, C., Harabi, K.-E., Faye, M.-C., Muhr, E., Walder, J.-P., Bilousov, O., Michaud, A., Vianello, E., et al. (2024) · Nature Communications

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 58

A memristor-based Bayesian machine

Harabi, K.-E., Hirtzlin, T., Turck, C., Vianello, E., Laurent, R., Droulez, J., Bessière, P., Portal, J.-M., Bocquet, M., & Querlioz, D. (2022) · Nature Electronics

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 58

Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks

Hirtzlin, T., Bocquet, M., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2019) · 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 51