Position embeddings (Glossary)

In the field of automation, Industry and Factory 4.0 as well as the Internet of Things, the term position embeddings plays an important role. Position embeddings are a method of helping machines and computers to understand the sequence of data. This method is often used in particular when processing texts or sensor data.

Imagine a robot reads an instruction: "First move box A, then box B". To ensure that the robot does not mix up the correct sequence, it needs to understand which element is in which position. This is where position embeddings come into play. They give each piece of information a kind of "position number" so that machines not only know *what* a piece of information is, but also *where* it is located in a sequence.

One example: In automated assembly lines, components receive digital position embeddings so that machines can always understand which work step comes next and everything runs smoothly.

Thanks to position embeddings, industrial processes can be controlled more intelligently, errors can be avoided and workflows can be organised more efficiently. They are therefore indispensable, especially in the age of Industry and Factory 4.0.