Results 51 to 60 of about 96,163 (267)
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
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Possibilities of Enacting and Researching Epistemic Communities [PDF]
This article explores what the concept of epistemic community can contribute to studies of science and technology and to existing analytical frames of epistemic cultures, technosocial network and community of practice.
Dagmar Lorenz-Meyer
core
On the Everettian epistemic problem [PDF]
, 2007 Recent work in the Everett interpretation has suggested that the problem of probability can be solved by understanding probability in terms of rationality.
Greaves, Hilary
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, 2017 The enactivist term mental institution was introduced to the situated cognition debate to conceptualize profound coherencies between cognitive processes and institutional settings.
Mark-Oliver Casper
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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
Epistemic Goals and Epistemic Values [PDF]
Philosophy and Phenomenological Research, 2008 The truth exerts a powerful attraction. Reading the newspaper over breakfast a few months ago, I came across the following quote from Ricky Williams, a running back for the Miami Dolphins who was in the process of walking away from his million-dollar salary to pursue a career in holistic medicine.
openaire +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
Coalgebraic Epistemic Update without Change of Model
, 2007 We present a coalgebraic semantics for reasoning about information update in multi-agent systems. The novelty is that we have one structure for both states and actions and thus our models do not involve the ”change-of-model” phenomena that arise when ...
C. Cirstea +7 more
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Can A Robot Own Its Own Ideas? Epistemic Insight Brochure
, 2022 Can A Robot Own Its Own Ideas?
LASAR Centre (Learning about Science and Religion)
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