The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - ...

which enables the prediction of the effectiveness of transfer learning in neural networks. The paper is published in the journal Physical Review Letters. AI systems are typically trained with ...

Researchers have developed a transfer learning-enhanced physics ... and boundary conditions directly into the neural network’s loss function. This ensures that the model accurately represents ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. You’ve probably heard of an AI technique known as “style transfer” — or, if you ...

Scientists have developed a new model for heat exchangers of heat pumps, combining strengths of numerical modeling and machine learning.

function approximation, image compression, forecasting and prediction, and nonlinear system modeling. These networks are "neural" in the sense that they may have been inspired by the brain and ...

Researchers used this power to drive a neural ... transfer efficiency, researchers also applied a constant-bias field using a permanent magnet or an electromagnet. Since the strain in the ...