In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling
Thomas Dalgaty, N. Castellani, Clément Turck, Kamel-Eddine Harabi, Damien Querlioz, Elisa Vianello
Topics & Concepts
Neuromorphic engineeringComputer scienceMemristorResistive random-access memoryMarkov chain Monte CarloRobustness (evolution)Reinforcement learningProbabilistic logicMonte Carlo methodCMOSMarkov chainArtificial intelligenceBayesian inferenceElectronic engineeringMachine learningBayesian probabilityArtificial neural networkEngineeringElectrical engineeringVoltageChemistryStatisticsGeneMathematicsBiochemistryAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesCCD and CMOS Imaging Sensors