Results 241 to 250 of about 1,900,337 (342)

Six artificial intelligence innovation strategies applied to autism spectrum disorder research: A narrative review

Pediatric Investigation, EarlyView.
Six artificial intelligence strategies advance autism research from tool optimization to paradigm shift: causal modeling, spatiotemporal networks, multimodal integration, digital twins, social cognition mapping, collaborative learning, and context‐aware interventions for precision care.
Ting Zhang, Zhenkun Cao, Wei Li, Zhihai Lv   +3 more
wiley   +1 more source

NiPS3/GaN photodetector with bias‐selected photoresponse mode for reconfigurable optoelectronic logic and neuromorphic vision

Responsive Materials, EarlyView.
This work presents a NiPS3/GaN photodetector with a broadband response from ultraviolet to visible light. Its performance, enabled by dynamically tuning the competition between photothermoelectric, photovoltaic, and photoconductive effects, facilitates applications in imaging, optoelectronic synapses, and reconfigurable logic gates.
Bingjie Ye, Chunshuang Chu, Shunjie Yu, Xinyi Shan, Jian Guo, Jun‐Ge Liang, Francis Chi‐Chung Ling, Guofeng Yang   +7 more
wiley   +1 more source

Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses [PDF]

Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Do Phuc Quan, Liang Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu   +11 more
openalex   +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

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

Flexible Artificial Ag NPs:a–SiC0.11:H Synapse on Al Foil with High Uniformity and On/Off Ratio for Neuromorphic Computing [PDF]

Zongyan Zuo, Chengfeng Zhou, Zhongyuan Ma, Yu‐Feng Huang, Liangliang Chen, Wei Li, Jun Xu, Kunji Chen   +7 more
openalex   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications

Small Methods, EarlyView.
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley   +1 more source

Invariant visual object and face learning in the ventral cortical visual pathway: A biologically plausible model. [PDF]

PLoS Comput Biol
Zhang C, Rolls ET, Feng J.
europepmc   +1 more source