Results 191 to 200 of about 398,042 (310)

Absorptive capacity in technological learning in clean development mechanism projects [PDF]

Technology transfer in Clean Development Mechanism (CDM) projects of the Kyoto Protocol has become one of the important issues addressed both in policy agenda and by academic scholars.
Doranova, Asel, Duysters, Geert, Costa, Ionara   +2 more
core  

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning

With the emergence of powerful large-scale foundation models, the training paradigm is increasingly shifting from from-scratch training to transfer learning.
Pradhan, Gauri, Tobaben, Marlon, Honkela, Antti, Bai, Yuxuan   +3 more
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Learning Transfer in Adult Education New Directions for Adult and Continuing Education, Number 137

, 2013
Learning transfer is the use of skills and knowledge acquired in one situation or setting in a different environment. It is, fundamentally, the point of education.
Kaminski, Karen, Kaiser, Leann M. R., Foley, Jeffrey M.   +2 more
core  

Guided Disentangled Representation Learning from Audio data for Transfer Learning

In the field of machine learning, disentangled representation learning seeks to map high-dimensional data into a low-dimensional space where the underlying variational factors are both disentangled and easily separable.
Haque, Kazi Nazmul
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Effects of a Novel Responsible Conduct of Research Training Program and Learning Transfer Intervention on Ethical and Professional Decision-Making Skills. [PDF]

Sci Eng Ethics
McIntosh T, Solomon ED, Dormeville M, DuBois JM, Antes AL.   +4 more
europepmc   +1 more source

Greater learning transfer effect for avoidance of loss than for achievement of gain in Finnish and Russian schoolchildren. [PDF]

Heliyon, 2020
Sozinov AA, Laukka S, Lyashchenko AI, Siipo A, Nopanen M, Tuominen T, Alexandrov YI.   +6 more
europepmc   +1 more source