This book is the product of a one-semester course called Seminar Machine Intelligence which was held in the winter term 21/22 at the Technical University Munich. The purpose of the course was to study the intersection between Machine Intelligence and 6G telecommunication technology and outline possible future trends in this domain. Nowadays, not only researchers are enthusiastic about the topic of machine intelligence but also a widespread public. More and more longstanding problems in manifold areas such as natural language and computer vision become tractable, it is evident that machine intelligence as technology will play a crucial role in society, industry, and the environment in the foreseeable future. As we shall expect major changes, we asked ourselves the question: ”To what extent do a higher data availability, larger data throughput, and an increased diversity of connected devices affect the future of machine intelligence?” The students participating in the seminar tried to discuss exactly this question in the winter term 21/22. The students examined the status quo of machine learning methods in the context of 6G and give insights into fields such as federated learning and generalization as well as their applications and the impact on the industry. Current trends are analyzed and projected into the future, which targets the question of how machine intelligence will be affected by the future of 6G.     «

This book is the product of a one-semester course called Seminar Machine Intelligence which was held in the winter term 21/22 at the Technical University Munich. The purpose of the course was to study the intersection between Machine Intelligence and 6G telecommunication technology and outline possible future trends in this domain. Nowadays, not only researchers are enthusiastic about the topic of machine intelligence but also a widespread public. More and more longstanding problems in manifold...     »