Results 91 to 100 of about 545,959 (267)
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Mediation analysis in large-scale assessments often involves a multilevel structure, where students are nested within classrooms or schools. In such a context, multilevel structural equation modeling (MSEM) provides a flexible framework for estimating ...
Yue Li, Fan Jia
doaj +1 more source
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals [PDF]
In this article we develop a new sequential Monte Carlo (SMC) method for multilevel (ML) Monte Carlo estimation. In particular, the method can be used to estimate expectations with respect to a target probability distribution over an infinite-dimensional
Beskos, Alexandros +4 more
core +2 more sources
Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects [PDF]
By adopting a Multilevel Monte Carlo (MLMC) framework, we show that only a handful of costly fine scale computations are needed to accurately estimate statistics of the failure of a composite structure, as opposed to the thousands typically needed in ...
T. Dodwell +5 more
semanticscholar +1 more source
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun +5 more
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Estimation of distributions via multilevel Monte Carlo with stratified sampling [PDF]
We design and implement a novel algorithm for computing a multilevel Monte Carlo (MLMC) estimator of the cumulative distribution function of a quantity of interest in problems with random input parameters or initial conditions.
S. Taverniers, D. Tartakovsky
semanticscholar +1 more source
ABSTRACT Introduction This project explores influenza and human papillomavirus (HPV) vaccine utilisation among a multi‐ethnic group of youth (aged 11–23 years) in Edmonton, Alberta, Canada. Method Using a cross‐sectional design and purposive sampling, influenza vaccine utilisation over 3 years was assessed via questionnaire.
Sarah Deck +5 more
wiley +1 more source
We considered an hybridizable discontinuous Galerkin (HDG) method for discrete elliptic PDEs with random coefficients. By an approach of projection, we obtained the error analysis under the assumption that a(ω,x) is uniformly bounded.
Meng Li, Xianbing Luo
doaj +1 more source
The Structure of Informal Learning in the Workplace—An Experience Sampling Approach
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley +1 more source

