A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inferenceManuel Le GalloRiduan Khaddam-Aljamehet al.2023Nature Electronics
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory ComputingHadjer BenmezianeCorey Lammieet al.2023EDGE 2023
In-memory computing for accelerating deep neural networks and neuro-vector-symbolic architecturesManuel Le GalloIrem Boybat-Karaet al.2023AICAS 2023
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory ComputingAthanasios VasilopoulosJulian Buchelet al.2023IEEE T-ED
Gradient descent-based programming of analog in-memory computing coresJulian BuchelA. Vasilopouloset al.2022IEDM 2022
Optimised weight programming for analogue memory-based deep neural networksCharles MackinMalte Raschet al.2022MRS Fall Meeting 2022
Deep learning inference and training using computational phase-change memoryManuel Le Gallo2022MRS Fall Meeting 2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit MemoryG. KarunaratneM. Herscheet al.2022ESSDERC/ESSCIRC 2022
Optimised weight programming for analogue memory-based deep neural networksCharles MackinMalte J. Raschet al.2022Nature Communications