Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS<sub>2</sub>
Guilherme Migliato Marega, Zhenyu Wang, Maksym Paliy, Gino Giusi, Sebastiano Strangio, Francesco Castiglione, Christian Callegari, Mukesh Tripathi, Aleksandra Rađenović, Giuseppe Iannaccone, András Kis
Abstract
and transferred from a host. Further simulations project that at a system level, the large memory arrays can perform AlexNet classification with an upper limit of 50 000 TOpS/W, potentially outperforming neural network integrated circuits based on double-poly CMOS technology.
Topics & Concepts
Computer scienceArtificial neural networkVon Neumann architecturePerceptronCMOSResistive random-access memoryNeuromorphic engineeringFlash memoryMemristorElectronic circuitComputer hardwareDeep learningArtificial intelligenceElectronic engineeringElectrical engineeringMaterials scienceVoltageOptoelectronicsEngineeringOperating systemAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeural Networks and Reservoir Computing