Deep neural network inference with a 64-core in-memory compute chip based on phase-change memoryManuel Le Gallo2023E\PCOS 2023
How fast can vanadium dioxide neuron-mimicking devices oscillate? Physical mechanisms limiting the frequency of vanadium dioxide oscillatorsS. CarapezziA. Plewset al.2023Neuromorph. Comput. Eng.
Emulating synaptic weights with thin films transistors based on ferroelectric hafniaDonato Francesco FalconeLaura Bégon-Lourset al.2023ESSDERC/ESSCIRC 2023
Photonic and electronic integrated technologies for neuromorphic computingBert J. OffreinTommaso Stecconiet al.2023SSDM 2023
The role of material science in neuromorphic computingValeria BragagliaTommaso Stecconiet al.2023CMD 2023
Physical modelling and optimization of analog Conductive Metal Oxide-HfO2 ReRAM artificial synapses for neuromorphic computingDonato Francesco FalconeStephan Menzelet al.2023CMD FisMat 2023
Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS TechnologySandro WidmerMarcel Kosselet al.2023IEEE TCAS-II
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based acceleratorsMalte J. RaschCharles Mackinet al.2023Nature Communications
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memoryManuel Le Gallo2023NVMTS 2023