Technology scaling is closing in on the limit of what is physically possible - there are just a few atoms left at 7nm. Without further technology scaling, classical computer architecture concepts will reach their limits. Therefore, new concepts have to be explored to enable further improvements in performance, energy efficiency, and capabilities. The concept of in- and near-memory computing moves processing capabilities closer to the data or even integrates them directly. Neuromorphic computer architectures simulate brains enabling "learning machines" far more energy efficient and sophisticated than a software-based neural network. In this seminar we will discuss those and other future computer architectures. We do offer a range of topics, but also invite you to propose a topic of your own.