70 citations · 105 across the 10 of their papers we have counts for
10 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…
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…
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
Mengtian Kang, Yansong Hu, Shuo Gao +13
Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…
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…
Macroscopic electro-optical modulation of solution-processed molybdenum disulfide
Songwei Liu, Yingyi Wen, Jingfang Pei +10
Molybdenum disulfide (MoS2) has drawn great interest for tunable photonics and optoelectronics advancement. Its solution processing, though scalable, results in randomly networked…
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…
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environment…