Constrained Few-shot Class-incremental Learning
Michael Hersche, Geethan Karunaratne, et al.
CVPR 2022
Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
Michael Hersche, Geethan Karunaratne, et al.
CVPR 2022
Laric Bobzien, Ann-Katrin U. Michel, et al.
CLEO/Europe-EQEC 2021
Anil Kurmus, Nikolas Ioannou, et al.
WOOT/USENIX Security 2017
Irem Boybat, Manuel Le Gallo, et al.
NVMTS 2017