Results 81 to 90 of about 79,498 (272)

TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design

, 2017
Implementation of Neuromorphic Systems using post Complementary Metal-Oxide-Semiconductor (CMOS) technology based Memristive Crossbar Array (MCA) has emerged as a promising solution to enable low-power acceleration of neural networks. However, the recent
Ankit, Aayush, Roy, Kaushik, Sengupta, Abhronil   +2 more
core   +1 more source

Genome‐Wide Association Study Reveals Insect Genetics and Microbial Symbiont Effects on Susceptibility of Diaphorina citri to the Citrus Greening Pathogen, Candidatus Liberibacter Asiaticus

Advanced Science, EarlyView.
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu, Qingcui He, Zeyue Lin, Shixuan Huang, Zichun Zhong, Pingyang Zhu, Mengge Gao, Luyao Zhao, Han Jin, Guiting Wu, Gurr M. Geoff, Qunxin Han, Rui Pang   +12 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Artificial Neural Network Pruning to Extract Knowledge

, 2020
Artificial Neural Networks (NN) are widely used for solving complex problems from medical diagnostics to face recognition. Despite notable successes, the main disadvantages of NN are also well known: the risk of overfitting, lack of explainability ...
Mirkes, Evgeny M
core  

Sensitivity-Informed Provable Pruning of Neural Networks

SIAM Journal on Mathematics of Data Science, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus   +4 more
openaire   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

Advanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao, Ruixue Nie, Hailu Fan, Tenzin Ngodroup, Li Zhu, Hongbin Pan, Bo Zhang, Hao Zhang   +7 more
wiley   +1 more source

Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning

Applied Sciences
This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks.
Hailin Su, Haijiang Sun, Yongxian Zhao
doaj   +1 more source

18β‐Glycyrrhetinic Acid and a Nano‐Liposomal Formulation Alleviate Depression‐Like Behaviors via the Microglial mTOR‐Autophagy‐NLRP3 Axis

Advanced Science, EarlyView.
Using a novel zebrafish‐based inflammatory screening strategy, we screened and identified 18β‐glycyrrhetinic acid (18β‐GA) as a promising anti‐inflammatory candidate. We uncover a microglial mTOR–autophagy–NLRP3 axis that constitutes the mechanistic core of 18β‐GA–mediated neuroprotection.
Hua Gan, Haitao Yuan, Wenjun Zhu, Xiaokang Xie, Shen Zhou, Wenzhi Hao, Xiaowei Mo, Lian Yang, Xiaojuan Li, Junshan Liu, Lijuan Deng, Jiaxu Chen   +11 more
wiley   +1 more source

CLAD: Criterion learner and attention distillation for automated CNN prunning

Journal of Automation and Intelligence
Filter pruning effectively compresses the neural network by reducing both its parameters and computational cost. Existing pruning methods typically rely on pre-designed pruning criteria to measure filter importance and remove those deemed unimportant ...
Zheng Li, Jiaxin Li, Shaojie Liu, Bo Zhao, Derong Liu   +4 more
doaj   +1 more source

Shapley Pruning for Neural Network Compression

CoRR
Neural network pruning is a rich field with a variety of approaches. In this work, we propose to connect the existing pruning concepts such as leave-one-out pruning and oracle pruning and develop them into a more general Shapley value-based framework that targets the compression of convolutional neural networks.
Kamil Adamczewski, Yawei Li 0001, Luc Van Gool   +2 more
openaire   +2 more sources