4 papers
Hardware implementation of timely reliable Bayesian decision-making using memristors
Lekai Song, Pengyu Liu, Yang Liu +8
Brains perform decision-making by Bayes theorem. The theorem quantifies events as probabilities and, based on probability rules, renders the decisions. Learning from this, Bayes th…
Analysis on reservoir activation with the nonlinearity harnessed from solution-processed molybdenum disulfide
Songwei Liu, Yingyi Wen, Jingfang Pei +10
Reservoir computing is a recurrent neural network designed for approximating complex dynamics in, for instance, motion tracking, spatial-temporal pattern recognition, and chaotic a…
GEM: A GEneral Memristive Transistor Model
Shengbo Wang, Jingfang Pei, Cong Li +5
Neuromorphic devices, with their distinct advantages in energy efficiency and parallel processing, are pivotal in advancing artificial intelligence applications. Among these device…
Harnessing physical entropy noise in structurally metastable 1T' molybdenum ditelluride for true random number generation
Yang Liu, Pengyu Liu, Yingyi Wen +11
True random numbers are essential in various research and engineering problems. Their generation depends upon a robust physical entropy noise. Here, we present true random number g…