首页|Findings from Xiamen University Update Understanding of Artificial Intelligence (All-in-one Multifunctional and Deformation-insensitive Carbon Nanotube Nerve Patches Enabling On-demand Interactions)
Findings from Xiamen University Update Understanding of Artificial Intelligence (All-in-one Multifunctional and Deformation-insensitive Carbon Nanotube Nerve Patches Enabling On-demand Interactions)
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NETL
NSTL
Elsevier
Current study results on Artificial Intelligence have been published. According to news reporting originating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “Artificial intelligence of things (AIoT) aims to establish smart informative interactions between humans and devices. However, common pixelated sensing arrays in AIoT applications present problems, such as hard and brittle devices, intricate wiring, complex structures, signal transmission crosstalk, and low precision.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Fujian Province, State Key Lab of Advanced Metals and Materials, Collaborative Innovation Platform Project of Fu-Xia-Quan National Independent Innovation Demonstration Zone, Fundamental Research Funds for the Central Universities, Ministry of Education, Singapore, under its MOE ARF Tier 2. Our news editors obtained a quote from the research from Xiamen University, “Herein, we show an innovative solution called all-in-one intelligent semitransparent interactive nerve patch (AISI nerve patch), which is realized by an electrical double-layer parallel separation structure with homogeneous soft conductive materials. Multifunctionality of sensing, recognition, and transmission is integrated into the AISI nerve patch, while its total thickness can be limited to the microscale level. The AISI nerve patch possesses favorable semitransparency (transmittance of similar to 80%), which enables the interactive area not only to be accurately identified but also not to affect aesthetics. High flexibility and bending-insensitivity allow the AISI nerve patch to attach to any curved surface, making things intelligent and interactive without sacrificing interactive efficiency and stability. A rapid response time and unpixellated recognition result in the AIS interactive patch realizing near-undull and ultrahigh-precision interactive recognition.”
XiamenPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningNanotechnologyNanotubesXiamen University
NETL
NSTL
Elsevier
