The term *semantic communication for AI* belongs to the categories of artificial intelligence and digital transformation. It describes how computers and artificial intelligence systems exchange information in such a way that they not only understand data, but also its meaning.
In contrast to simple data transmission, semantic communication is about both sides - humans and machines or even two AI systems - knowing what certain terms or commands actually mean. The aim is to avoid misunderstandings and make communication more efficient and smarter.
A practical example: Imagine a voice assistant is asked to book a train ticket for you. Thanks to semantic communication, the AI not only understands that "train ticket" means a ticket for the train, but also what a seat reservation or a saver fare is. This allows the AI to respond specifically to your wishes and suggest suitable options.
Semantic communication for AI is therefore an important step towards machines understanding our world better - this makes digital processes easier and makes many applications more helpful for companies and users.















