Results 61 to 70 of about 131,401 (219)
All Organic Fully Integrated Neuromorphic Crossbar Array
Analog non‐volatile memory devices, such as electrochemical random‐access memory (ECRAM), have emerged as a promising platform for in‐memory computing, facilitating efficient data processing.
Setareh Kazemzadeh +2 more
doaj +1 more source
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays
The rapid development of deep learning enables significant breakthroughs for intelligent edge‐terminal devices. However, neural network training for edge computing is currently overly dependent on cloud service platforms, resulting in low adaptivity for ...
Yingming Lu +7 more
doaj +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
To surpass the slowdown of Moore's Law, multi‐valued logic (MVL) systems are explored to increase information processing density and enhance computational efficiency. Although conventional MVL systems offer substantial reductions in the number of devices
Junqi You +6 more
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
Large‐scale deep learning models are increasingly constrained by their immense energy consumption, which limits their scalability and applicability for edge intelligence. In‐memory computing (IMC) offers a promising solution by addressing the von Neumann
Yusuke Sakemi +5 more
doaj +1 more source
Memristors, as transformative electronic devices designed to transcend the von Neumann architecture, enable the physical unification of information storage and computation, thereby offering a foundational hardware pathway toward energy-efficient, brain ...
Kerui Fu, Tianling Qin
doaj +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Stateful Logic Operation of Gated Silicon Diodes for In‐Memory Computing
In‐memory computing significantly reduces workload and energy cost of data access in the traditional von Neumann computing architecture. Using various memristors, stateful logic is developed to realize in‐memory computing.
Jaemin Son +3 more
doaj +1 more source

