Results 121 to 130 of about 1,314,055 (250)

Neural correlates of resilience to trauma during adolescence: A multi‐modal study

JCPP Advances, EarlyView.
Abstract Background Understanding resilience mechanisms is important for advancing early intervention strategies, yet research on the neurobiology of resilience in adolescents is limited. The present study examined the brain structural and resting‐state functional connectivity (rsFC) correlates of resilience to internalizing and externalizing symptoms ...
Lu Zhang, Vanessa L. Cropley, Divyangana Rakesh, Sarah Whittle   +3 more
wiley   +1 more source

BinVPR: Binary Neural Networks towards Real-Valued for Visual Place Recognition

Sensors
Visual Place Recognition (VPR) aims to determine whether a robot or visual navigation system locates in a previously visited place using visual information. It is an essential technology and challenging problem in computer vision and robotic communities.
Junshuai Wang, Junyu Han, Ruifang Dong, Jiangming Kan   +3 more
doaj   +1 more source

Heterogeneous Bitwidth Binarization in Convolutional Neural Networks

, 2018
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate. These networks use homogeneous binarization: all parameters in each layer or (more commonly) the whole model have the same low bitwidth (e.g., 2 bits). However, modern hardware allows efficient designs where each arithmetic instruction can have a custom ...
Fromm, Josh, Patel, Shwetak, Philipose, Matthai   +2 more
openaire   +2 more sources

Reinforcement Learning Enabled Nanophotonic Devices

Laser &Photonics Reviews, EarlyView.
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang, Junyeob Song, Minsuk Lee, Wenqi Zhu, Amit Agrawal   +4 more
wiley   +1 more source

Basal Forebrain Volume and Concurrent Hallucinations and Mild Cognitive Impairment in Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Visual hallucinations (VH) and mild cognitive impairment (MCI) often co‐occur in Parkinson's Disease (PD). Each symptom in isolation is associated with cholinergic basal forebrain (BF) atrophy. However, it is unclear whether BF integrity relates to one symptom preferentially or to their co‐occurrence, and whether this relationship ...
Sabrina M. Adamo, Vaishali Mutreja, Marta Statucka, Batu Kaya, Taylor W. Schmitz, Anthony C. Ruocco, Melanie Cohn   +6 more
wiley   +1 more source

Efficient Exact Verification of Binarized Neural Networks

, 2020
To be published in NeurIPS ...
Jia, Kai, Rinard, Martin
openaire   +2 more sources

Distinct Roles of Cerebellar Afferent and Efferent Fiber Tracts in Craniocervical Dystonia

Movement Disorders, EarlyView.
Abstract Background The cerebellum has been widely implicated in the pathogenesis of craniocervical dystonia (CCD). Subthalamic nucleus deep brain stimulation (STN‐DBS) has emerged as an effective therapy for CCD. However, the roles of cerebellar afferent and efferent pathways in CCD pathogenesis and STN‐DBS treatment remain poorly understood ...
Bin Liu, Wenjie Li, Yanyang Zhang, Tao Yu, Zaixu Cui, Xiaoyu Xu, Junpeng Xu, Xin Chen, Jingyu Feng, Zhiqi Mao, Jun Yang   +10 more
wiley   +1 more source

Longitudinal Awake Mouse fMRI During Voluntary Locomotion Using Zero TE Imaging and a Novel Treadmill Training Protocol

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Functional MRI (fMRI) in awake rodents presents countless valuable opportunities for researchers to probe questions that may not be accessible through anesthetized models, such as voluntary locomotion. The commonly used echo planar imaging (EPI) sequence is highly sensitive to motion that occurs even outside of the imaging plane ...
Lauren Daley, Wen‐Ju Pan, Gopinath Kaundinya, Shella Keilholz   +3 more
wiley   +1 more source

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, EarlyView.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei, Maria C. Boukouvala, Gianluca Manduca, Nickolas G. Kavallieratos, Filippo Maggi, Marta Ferrati, Eleonora Spinozzi, Cesare Stefanini, Antonio DeSimone, Donato Romano   +9 more
wiley   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source