Results 71 to 80 of about 131,401 (219)
Advances in Infrared Detectors for In-Memory Sensing and Computing
In-memory sensing and computing devices integrate the functionalities of sensors, memory, and processors, offering advantages such as low power consumption, high bandwidth, and zero latency, making them particularly suitable for simulating synaptic ...
Weibo Feng, Tianling Qin, Xin Tang
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ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
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The increasing complexity of artificial intelligence has exposed critical limitations of conventional von Neumann architectures, particularly in terms of data transfer bottlenecks and high energy consumption.
Suwon Seong +4 more
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ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge2Sb2Te5 PCM Chip
Object detection, as a fundamental task in computer vision, mainly performs the classification and localization of objects in images or videos. However, traditional edge computing platforms fall short of meeting the demands for state‐of‐the‐art object ...
Chenchen Xie +13 more
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Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Analog in‐memory computing, leveraging resistive switching cross‐point devices known as resistive processing units (RPUs), offers substantial improvements in the performance and energy efficiency of deep neural network (DNN) training. Among the promising
Byoungwoo Lee +11 more
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ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
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Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications
This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO ${}_{\text {3-x}}$ /Pt structure, utilizing fully CMOS-compatible materials. The device demonstrates four distinct resistive states under varying switching voltages, achieving a ...
Shengpeng Xing +10 more
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Impact of Plasma p‐tau181 on Cognition, Motor Phenotypes, and Disease Course in ALS
ABSTRACT Phosphorylated tau181 (p‐tau181), an Alzheimer's disease biomarker, was recently evaluated in amyotrophic lateral sclerosis (ALS). We investigated plasma p‐tau181 in 202 ALS/ALS‐FTD patients and 94 healthy controls, assessing cognitive performance, motor function, and longitudinal dynamics.
Elisabeth Kasper +25 more
wiley +1 more source

