Results 121 to 130 of about 120,811,929 (257)

Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators

Frontiers in Electronics
Recently, there has been notable progress in the advancement of RRAM-based Compute-In-Memory (CIM) architectures, showing promise in accelerating neural networks with remarkable energy efficiency and parallelism.
Khaled Humood, Yihan Pan, Shiwei Wang, Alexander Serb, Themis Prodromakis   +4 more
doaj   +1 more source

Associations Between Biomarkers of Alzheimer's Disease and Sleep in Cognitively Unimpaired Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter, Hans Dorn, Julian Hellmann‐Regen, Ana Bueno‐Lopez, Verena van Ginneken, Heidi Danker‐Hopfe   +5 more
wiley   +1 more source

Racetrack memory based logic design for in-memory computing

, 2018
In-memory computing has been demonstrated to be an efficient computing infrastructure in the big data era for many applications such as graph processing and encryption. The area and power overhead of CMOS technology based memory design is growing rapidly
Luo, Tao, null null, Tao Luo
core   +1 more source

Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays

Advanced Intelligent Systems
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, Zhen Yang, Yaoyu Tao, Lei Cai, Teng Zhang, Longhao Yan, Ru Huang, Yuchao Yang   +7 more
doaj   +1 more source

Improving the Diagnostic Accuracy of Plasma Alzheimer's Disease Biomarkers With Objective and Subjective Cognitive Screening

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki, Leslie S. Gaynor, Dandan Liu, Timothy J. Hohman, Katherine A. Gifford, Henrik Zetterberg, Angela L. Jefferson, Corey J. Bolton   +7 more
wiley   +1 more source

Two‐Dimensional Flash Memory: Materials, Interfaces, and Storage–Computing Convergence

Advanced Science
Flash memory remains the dominant nonvolatile storage technology, yet its continued scaling is increasingly constrained by the coupled requirements of fast programming, low operating energy, and long‐term reliability.
Zhiyuan Wang, Fanyi Meng, Fanying Meng, Shida Huo, Junxi Xu, Yaohui Wang, Yuexuan Ma, Yuan Xie, Xiaodong Hu, Caofeng Pan, Enxiu Wu   +10 more
doaj   +1 more source

Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch, Hannah Schwartz, Kimberly H. Markowitz, Abhishek Jaywant, Christopher D. Hildenbrand, Jai Perumal, Ulrike W. Kaunzner, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution

Advanced Intelligent Systems
In‐memory computing (IMC) using memristor crossbar arrays offers a promising approach to accelerating neural networks by performing analog computation directly within memory, thereby minimizing data movement and enhancing energy efficiency.
Wenhao Song, Fuxi Cai, Sangsu Park, Zhaoyan Li, Seonghun Lee, Mingyi Rao, Woohyung Choi, Seungin Shin, Yan Zhu, Sujin Chae, Myoungsub Kim, Mingche Wu, Hyejung Choi, Yuan Dao, Jaeyun Yi, Youngman Cho, Seon Yong Cha, Ning Ge, Qiangfei Xia, Soo Gil Kim, Miao Hu, J. Joshua Yang   +21 more
doaj   +1 more source

Associations of Frailty With the Risk of Incident Cancer and Cancer‐Related Mortality in Veterans With Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective This study investigated the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). It aimed to identify how frailty influences cancer risk and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans’ Affairs Rheumatoid Arthritis Registry (2002–2023).
Bhavik Bansal, Aaron Baraff, Katherine Wysham, James S. Andrews, Bryant R. England, Ted R. Mikuls, Joshua Baker, Kaleb Michaud, Alexa Meara, Una Makris, Carolyn Presley, Ariela Orkaby, Namrata Singh   +12 more
wiley   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience
Memristive materials (MMs) with adjustable conductance states are becoming the fundamental building blocks of artificial neural networks. However, challenges such as nonlinear weight conductance updates and the trade‐off between increasing melting ...
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
doaj   +1 more source