Results 61 to 70 of about 6,515,717 (283)

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

On the Epistemic Meaning of CAN [PDF]

, 1991
Among the model auxiliaries, the semantic characteristics of CAN seem to be rather unique. While the rest of the modal auxiliaries have clear-cut distinctions between Root and Episteme, CAN looks fuzzy.
寺田, 正義, 3792, テラダ, マサヨシ   +2 more
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Teachers’ Epistemic Beliefs and Digital Competence

MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung
Recent research in media education has increasingly emphasized how teachers’ epistemic beliefs and digital learning beliefs shape instructional practices and the development of teachers’ digital competence. Drawing on survey data from 156 in-service and
Maximilian Sailer, Xinlei Sun, Julia Watzinger, Detlef Urhahne   +3 more
doaj   +1 more source

Extension Economists: Valued in Mission, Penalized in Practice

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone, Craig W. Carpenter, Courtney Bir, Andrew J. Van Leuven, Rebecca Wasserman‐Olin, Wendong Zhang   +5 more
wiley   +1 more source

African theology of reconstruction and queer epistemic violence: A theo-ethical discourse

Verbum et Ecclesia
The legacies of colonialism in South Africa and broadly in Africa have problematised discourses on violence and discrimination. To counter coloniality and its continued efforts to dehumanise Africa, many Africans have often uncritically embraced certain ...
Ayanda Mdokwana
doaj   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

The Epistemic Insight Explorer

, 2022
The Epistemic Insight Explorer tells the story of a LASAR researcher who has worked in partnership with Primary schools during the pandemic. It highlights Epistemic Insight pedagogy, noting the collaborative action-research with teachers, who have ...
Sherralyn Simpson, Berry Billingsley
core   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

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, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source