Results 41 to 50 of about 10,063 (188)
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
Advanced Science, EarlyView.Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang +11 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
The aleatoric aspect of literary tourism: an example from Havana
Tourism, 2020 The expression literary tourism is an established term which rarely raises controversies. It fits well into a positivist way of thinking about tourism reality.
Jacek Kaczmarek
doaj +1 more source
Time's Arrow, December 8, 1995 [PDF]
, 1995 This is the concert program of the Time's Arrow performance on Friday, December 8, 1995 at 8:00 p.m., at the Tsai Performance Center, 685 Commonwealth Avenue, Boston, Massachusetts.
School of Music, Boston University
core
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
, 2022 NeurIPS ...
Jiang, Minqi +7 more
openaire +2 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Experimental Approaches to the Composition of Interactive Video Game Music [PDF]
, 2014 This project explores experimental approaches and strategies to the composition of interactive music for the medium of video games. Whilst music in video games has not enjoyed the technological progress that other aspects of the software have received ...
Rayman, Josh
core
An Alarm System For Segmentation Algorithm Based On Shape Model
, 2019 It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile, manual inspection of each case to locate the failures becomes infeasible
Liu, Fengze +4 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines
IEEE Open Journal of Engineering in Medicine and BiologyUncertainty estimations through approximate Bayesian inference provide interesting insights to deep neural networks' behavior. In unsupervised learning tasks, where expert labels are unavailable, it becomes ever more important to critique the ...
Enamundram Naga Karthik +2 more
doaj +1 more source