Results 111 to 120 of about 2,410 (200)

Ultrafast vision perception by neuromorphic optical flow

Optical flow is crucial for robotic visual perception, yet current methods primarily operate in a 2D format, capturing movement velocities only in horizontal and vertical dimensions. This limitation results in incomplete motion cues, such as missing regions of interest or detailed motion analysis of different regions, leading to delays in processing ...
Shengbo Wang, Shuo Gao, Tongming Pu, Liangbing Zhao, Arokia Nathan   +4 more
openaire   +1 more source

Bi4Ti2.85Zr0.15O12/Nb: SrTiO3‐Based Artificial Optic Neuron for Synaptic Plasticity Simulation and Light‐Controlled Neuromorphic Computing

Materials Genome Engineering Advances, EarlyView.
An optoelectronic synapse based on Zr‐doped Bi4Ti3O12 exhibits learning/forgetting mimicry and achieves 94.2% accuracy on MNIST, demonstrating a novel pathway for high‐performance neuromorphic computing. ABSTRACT This study enhanced the optoelectronic properties of BIT (Bi4Ti3O12) through Zr doping at the B site, constructing an Au/Bi4Ti2.85Zr0.15O12 ...
Dongping Yang, Zhilong Chen, Zhenhua Tang, Qijun Sun, Yanping Jiang, Xingui Tang   +5 more
wiley   +1 more source

Conjugated Polymers Engineered for Flexible/Stretchable Electronics

Journal of Polymer Science, EarlyView.
This review highlights glass transition temperature (Tg) as the central parameter linking molecular structure to device performance in conjugated polymers. By tuning backbone rigidity, side‐chain architecture, and dynamic bonding, Tg governs the balance between π–π stacking–enabled charge transport and mechanical compliance.
Yunchong Yang, Josh Bass, Weijia Yan, Ashwath Anand, Chunka Zhou, Jingjing Qiu   +5 more
wiley   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

TactiGraph: An Asynchronous Graph Neural Network for Contact Angle Prediction Using Neuromorphic Vision-Based Tactile Sensing. [PDF]

Sensors (Basel), 2023
Sajwani H, Ayyad A, Alkendi Y, Halwani M, Abdulrahman Y, Abusafieh A, Zweiri Y.   +6 more
europepmc   +1 more source

MXene‐Based Flexible Memory and Neuromorphic Devices

Small, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Yan Yan, Shuangmei Xue, Kui Zhou, Meng Zhang, Yutong Zhang, Qi‐Jun Sun, Yi Liu, Vellaisamy A. L. Roy, Ye Zhou, Su‐Ting Han   +13 more
wiley   +1 more source

Graphene/MoS_2-xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing. [PDF]

Light Sci Appl, 2023
Fu X, Li T, Cai B, Miao J, Panin GN, Ma X, Wang J, Jiang X, Li Q, Dong Y, Hao C, Sun J, Xu H, Zhao Q, Xia M, Song B, Chen F, Chen X, Lu W, Hu W.   +19 more
europepmc   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

Small, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li, Yanyan He, Chengyang Wang, Weng Fu Io, Feng Guo, Wenjing Jie, Jianhua Hao   +6 more
wiley   +1 more source

Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright

Nature Communications
Proper exposure settings are crucial for modern machine vision cameras to accurately convert light into clear images. However, traditional auto-exposure solutions are vulnerable to illumination changes, splitting the continuous acquisition of unsaturated
Shijie Lin, Guangze Zheng, Ziwei Wang, Ruihua Han, Wanli Xing, Zeqing Zhang, Yifan Peng, Jia Pan   +7 more
doaj   +1 more source

Two-Dimensional Perovskite-Gated AlGaN/GaN High-Electron-Mobility-Transistor for Neuromorphic Vision Sensor. [PDF]

Adv Sci (Weinh), 2022
Hong X, Huang Y, Tian Q, Zhang S, Liu C, Wang L, Zhang K, Sun J, Liao L, Zou X.   +9 more
europepmc   +1 more source