activity
20232026
most citedIntelligent machines work in unstructured environments by differential neuromorphic computing

70 citations · 70 across the 9 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.NE2024

High-Order Associative Learning Based on Memristive Circuits for Efficient Learning

Shengbo Wang, Xuemeng Li, Jialin Ding +5

Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this wo…

cs.CV2024

Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities

Shengbo Wang, Jingwen Zhao, Tongming Pu +14

Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…

physics.app-ph2024

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…

cs.CV2024

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…

physics.app-ph2024

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…

physics.app-ph2024

Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems

Shengbo Wang, Cong Li, Tongming Pu +5

Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-le…

eess.IV2024

Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning

Yong Liu, Mengtian Kang, Shuo Gao +12

Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis…