Results 71 to 80 of about 18,707 (285)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Expected integration approximation under general equal measure partition

Results in Applied Mathematics
In this paper, we first use an L2−discrepancy bound to give the expected uniform integration approximation for functions in the Sobolev space H1(K) equipped with a reproducing kernel.
Xiaoda Xu, Dianqi Han, Zongyou Li, Xiangqin Lin, Zhidong Qi, Lai Zhang   +5 more
doaj   +1 more source

Crisscross Optimization Algorithm and Monte Carlo Simulation for Solving Optimal Distributed Generation Allocation Problem

Energies, 2015
Distributed generation (DG) systems are integral parts in future distribution networks. In this paper, a novel approach integrating crisscross optimization algorithm and Monte Carlo simulation (CSO-MCS) is implemented to solve the optimal DG allocation ...
Xiangang Peng, Lixiang Lin, Weiqin Zheng, Yi Liu   +3 more
doaj   +1 more source

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

Lattice-Valued Spaces: Fuzzy Convergence

, 2006
An alternative set of axioms is given for the study of lattice-valued convergence spaces. These axioms extend the notion of a probabilistic convergence space in the special case when the lattice is L = [0, 1].
Mohapatra, R. N., Richardson, G., Flores, P. V.   +2 more
core   +2 more sources

Lacunary ideal convergence in probabilistic normed spaces

, 2014
no ...
Hazarika, Bipan, Esi, Ayhan
openaire   +2 more sources

$\bar \lambda $-statistically convergent double sequences in probabilistic normed spaces

Mathematica Slovaca, 2011
Abstract The purpose of this paper is to introduce and study the concepts of double $\bar \lambda $-statistically convergent and double $\bar \lambda $-statistically Cauchy sequences in probabilistic normed space.
Savaş, Ekrem, Mohiuddine, S.A.
openaire   +2 more sources

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Lattice-valued convergence: Diagonal axioms

, 2008
Diagonal axioms are defined in the category whose objects consist of all the lattice-valued convergence spaces. When the latter is linearly ordered, a diagonal condition is given which characterizes those objects in the category that are determined by a ...
Richardson, G., Flores, P. V.
core   +2 more sources

Quantitative Behavior and Probabilistic Convergence of Iterative Methods for Solving Multiple Roots: A Numerical Exploration

Mathematics
To address the convergence rate degradation of standard Newton iteration methods for nonlinear equations with multiple roots, this study systematically investigates the dynamic behavior and convergence properties of iterative methods for solving multiple
Linjie Chen, Feilan Wang, Xiajing Chen, Rui Ye, Jianfeng Li   +4 more
doaj   +1 more source