Results 71 to 80 of about 6,515,717 (283)
Simulating Future Test and Redesign Considering Epistemic Model Uncertainty [PDF]
At the initial design stage engineers oft.en rely onlow-fldelity models that have high epistemic uncertainty. Taditional safety-margin-based deterministic design resorts to testing to reduce epistemic uncertainty and achieve targeted levels of safety. Testing is used to calibrate models and prescribe redesign when tests are not passed.
Nathaniel B. Price +5 more
openaire +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 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
Epistemic cooperation scripts in online learning environments [PDF]
Using online learning environments in higher education offers innovative possibilities to support collaborative learning. However, online learning creates new kinds of problems for participants who have not previously worked with each other. One of these
Weinberger, Armin +5 more
core +1 more source
Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park +8 more
wiley +1 more source
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag +3 more
wiley +1 more source
The concept of epistemic trust is gaining traction in the mental health field. Epistemic trust is thought to play a foundational role as a resilience factor against the development and maintenance of psychopathology by fostering social learning.
Christian Greiner +7 more
doaj +1 more source
Long Term Epistemic Actions [PDF]
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
core +1 more source
AI Dependence as a Longitudinal Governance Problem
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley +1 more source

