6 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…
Self-reconfigurable Multifunctional Memristive Nociceptor for Intelligent Robotics
Shengbo Wang, Mingchao Fang, Lekai Song +5
Artificial nociceptors, mimicking human-like stimuli perception, are of significance for intelligent robotics to work in hazardous and dynamic scenarios. One of the most essential…
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…
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics
Lekai Song, Pengyu Liu, Jingfang Pei +8
The demand for efficient edge vision has spurred the interest in developing stochastic computing approaches for performing image processing tasks. Memristors with inherent stochast…
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…
Conduction modulation of solution-processed two-dimensional materials
Songwei Liu, Xiaoyue Fan, Yingyi Wen +10
Solution-processed two-dimensional (2D) materials hold promise for their scalable applications. However, the random, fragmented nature of the solution-processed nanoflakes and the…