Litcius/Paper detail

Neuromorphic scaling advantages for energy-efficient random walk computations

J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone

2022Nature Electronics40 citationsDOIOpen Access PDF

Topics & Concepts

Neuromorphic engineeringComputer scienceRandom walkCognitive computingComputationUnconventional computingArtificial neural networkMonte Carlo methodRange (aeronautics)Theoretical computer scienceArtificial intelligenceReservoir computingSpiking neural networkSpeedupStochastic computingComputational scienceComputational intelligenceAlgorithmSupercomputerMassively parallelMarkov chain Monte CarloComputational modelRandom number generationQuantum computerMarkov decision processAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeural Networks and Reservoir Computing
Neuromorphic scaling advantages for energy-efficient random walk computations | Litcius