Results 141 to 150 of about 1,693,918 (338)
THE RISKS OF ARTIFICIAL INTELLIGENCE
The artificial intelligence AI revolution is the fastest of all revolutions that we have known. The AI is most often presented as a how to improve and refine existing processes in order to spectacular. Much more than a technology, AI represents a new way of interacting with our environment and doing business.
openaire +4 more sources
Modulating Oxide‐Based Quantum Materials by Ion Implantation
This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz+2 more
wiley +1 more source
Optimizing radiologic workup: An artificial intelligence approach [PDF]
Henry A. Swett+4 more
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Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation
A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng+7 more
wiley +1 more source
The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again.
Yujia Peng+9 more
doaj
MicroRNAs (miRNAs) are a key class of endogenous non-coding RNAs that play a pivotal role in regulating diseases. Accurately predicting the intricate relationships between miRNAs and diseases carries profound implications for disease diagnosis, treatment,
SiJian Wen+6 more
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Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila+7 more
wiley +1 more source
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu+6 more
wiley +1 more source
Learning lightweight tea detector with reconstructed feature and dual distillation
Currently, image recognition based on deep neural networks has become the mainstream direction of research; therefore, significant progress has been made in its application in the field of tea detection. Many deep models exhibit high recognition rates in
Zhe Zheng+6 more
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