Results 121 to 130 of about 23,821 (231)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Protocol for identifying and comparing neuronal ensembles using different algorithms within a graphical user interface. [PDF]

STAR Protoc
Velazquez-Contreras R, Carrillo-Reid L.
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

BioNeuralNet: a graph neural network based Multi-Omics network data analysis tool. [PDF]

Bioinformatics
Ramos V, Hussein S, Abdel-Hafiz M, Sarkar A, Liu W, Kechris KJ, Bowler RP, Lange L, Banaei-Kashani F.   +8 more
europepmc   +1 more source

Discovery and Engineering of a Rat Endogenous Retrovirus Reverse Transcriptase for Efficient Prime Editing

Advanced Science, EarlyView.
We screened 558 reverse transcriptases and engineered an optimized rat endogenous retrovirus‐derived variant, enRERV‐RT, via structure‐guided engineering and deep mutational scanning. This enhanced prime editor, based on the engineered RT, outperforms conventional M‐MLV‐RT systems across plant and animal cells, particularly at hard‐to‐edit loci ...
Linsha Ma, Pengcheng Yao, Shengqi Wu, Yuanyuan Shi, Lang Qin, Baitao Li, Jiayi Zhu, Minhua Huang, Yichong Zhu, Yuwen Song, Jinhuan Pang, Ziping Guo, Guochuan Wu, Chen Wang, Kewei Xu, Ruihua Huang, Quan Kuang, Liang Qu, Changtian Pan, Xianrong Xie, Qinlong Zhu, Jiaying Huang, Qiupeng Lin   +22 more
wiley   +1 more source

Feasibility of multi-class dental caries detection using deep learning-based smartphone images: a pilot prospective study. [PDF]

Front Oral Health
Kang JY, Kim HK.
europepmc   +1 more source

Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression

Advanced Science, EarlyView.
The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren, Xiaogang Li, Hao Li, Zenghui Cao, Mengtian Hou, Chunlei Zhao, Nan Lou, Sasa Hu, Yanzhe Li, Qian Ma, Yaoyao Li, Yi Fan, Kunkun Zhao, Kai Zhao, Ding Qiu, Fangping Gong, Zhongfeng Li, Haitao Liu, Xingli Ma, Xingxiang Wang, Dongmei Yin   +20 more
wiley   +1 more source

AdjLeafGNN: a hybrid deep learning and graph neural network framework for probabilistic modeling of adjacent leaf disease spread in precision agriculture. [PDF]

Sci Rep
Surekha B, Subha Mastan Rao T.
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

A dataset of windows system binaries and similarity digests for enhanced forensic analysis. [PDF]

Data Brief
Huici D, Rodríguez RJ.
europepmc   +1 more source