Transfer learning, an AI technique that adopts models to new, related tasks without much training data, has immediate business implications.

Therefore, it is advisable to use transfer learning and build on top of the existing state of the model available as a dataset or open-source, pretrained weights.

A vital topic in higher education is transfer of learning, which is generally defined as the ability to take something learned in one context and apply it in another. Transfer has been researched ...

Brainchip, the AI processor specialist, has looked whether transfer learning is more efficient than incremental learning in training neural nets to perform AI/ML tasks.. In transfer learning, ...

It’s critical for students to be able to use their knowledge in a variety of situations and contexts, but how can teachers facilitate that transfer?

Constructing Learning With the emergence of cognitive science in the 1950s, researchers began to use construction metaphors to describe learning.