Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

When discussing learning transfer—the ability to apply previous knowledge, skills, and strategies to new contexts or situations—we should also be mindful of our learners’ cognitive load. Cognitive ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited resources. Separately, they have proposed forming an international consortium to ...

The new “question-of-the-week” is: What is “transfer of learning” and what can teachers do to increase the odds of it happening with their students? Transfer of learning, also know as learning ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Processes of learning and the transfer of learning are central to understanding how people develop important competencies. Learning is important because no one is born with the ability to function ...