Transfer learning with self-monitoring (Glossary)

Transfer learning with self-monitoring is primarily used in the fields of artificial intelligence, automation and Industry 4.0. This is an intelligent method in which machines or computer systems transfer previously learnt knowledge to new tasks. The special thing about it is that the systems monitor themselves in order to control the quality of their learning processes and recognise errors at an early stage.

Imagine a robot in a factory has learnt to sort screws. Now it is given the task of sorting nails without having to learn from scratch. With the help of transfer learning with self-monitoring, the robot uses its existing knowledge of recognising small metal parts and adapts it independently to the new task. Thanks to self-monitoring, the robot also checks whether its results are reliable and immediately reports any problems.

This saves time, costs and increases quality, as less human intervention is required. As a result, companies can react more flexibly to new requirements and increase the efficiency of their processes at the same time. Transfer learning with self-monitoring is therefore an important building block for the intelligent automation of the future.