The Winter AI School offers an intensive, hands-on learning experience that explores the latest advancements in artificial intelligence. There is a strong focus on high-performance computing (HPC), computer vision, large […]
Join us as we explore the AMD Enterprise AI suite, which helps organizations scale AI from experimentation to production with an open and modular platform. Agenda
As foundation models and other large AI systems continue to scale, the field faces a growing set of methodological and computational challenges — from efficient training strategies and system-level constraints […]
Join us for our inaugural online journal club. In this session, we will discuss together Meta AI's work on Large Concept Models . Our team from Tübingen AI Center will […]
The HPC users' primary goal is scientific discovery. However, many encounter continuous obstacles when running code on HPC systems. Issues such as configuring environments, managing modules, writing job scripts, and […]
The Webinar is for participants interested to learn how to identify and analyze performance improvements for AI workloads using profiling. Understand the fundamentals of profiling for AI workloads, which can […]
We'll return with the second installment of the online journal club. In the meeting, we will have a look together at (VL-)JEPA , a model from Yann LeCun's research agenda […]
The third instalment of the online journal club will feature the third instalment of the Mamba model series. We will discuss and dissect the ICLR 2026 paper "Mamba-3: Improved Sequence Modeling using State Space Principles" by Lahoti et al. . Again, the Tübingen AI Center team will host and lead the discussion. The session is […]