Results 41 to 50 of about 6,291 (185)

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

X-ray computed tomography scanning schemes and reconstruction capabilities at the BAMline (BESSY II). [PDF]

J Synchrotron Radiat
An X‐ray computed tomography scanning approach available at the BAMline effectively removes ring artifacts and enables real‐time preview reconstruction through sequence‐based step‐scanning. Additionally, integrated X‐ray spectral calculation software streamlines beamline adjustments for optimized imaging performance.The BAMline at the BESSY II ...
Markötter H, Sintschuk M, Bruno G.
europepmc   +2 more sources

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Board Gender Diversity and Environmental Credit Risk in Banking: A Global Study of Bank Governance

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the relationship between board gender diversity and environmental credit risk in the global banking sector. Using a panel dataset of 345 publicly listed banks from 75 countries over the period 2018–2022, we find that greater female representation on bank boards is significantly associated with lower environmental credit
Kenza Mouti, Erhan Kilincarslan, Jiafan Li   +2 more
wiley   +1 more source

Ultra-large scale virtual screening identifies a small molecule inhibitor of the Wnt transporter Wntless

iScience
Summary: Wnts are lipid-modified glycoproteins that play key roles in both embryonic development and adult homeostasis. Wnt signaling is dysregulated in many cancers and preclinical data shows that targeting Wnt biosynthesis and secretion can be ...
Jia Yu, Pei-Ju Liao, Thomas H. Keller, Joseph Cherian, David M. Virshup, Weijun Xu   +5 more
doaj   +1 more source

Effects of Linseed Oil or Whole Linseed Supplementation on Performance and Milk Fatty Acid Composition of Lactating Dairy Cows [PDF]

Asian-Australasian Journal of Animal Sciences, 2014
The objective of this study was to determine the effects of linseed oil or whole linseed supplementation on performance and milk fatty acid composition of lactating dairy cows.
Wisitiporn Suksombat, Lam Phuoc Thanh, Chayapol Meeprom, Rattakorn Mirattanaphrai   +3 more
doaj   +1 more source

Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Frontiers in Computer Science, 2021
Large amounts of labeled data are a prerequisite to training accurate and reliable machine learning models. However, in the medical domain in particular, this is also a stumbling block as accurately labeled data are hard to obtain.
Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, Trevor Cohen   +4 more
doaj   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori, Iman Moshiritabrizi, Anh‐Duong Vo, Kimberley B. McAuley   +3 more
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source