The Hertie Institute for AI in Brain Health improves early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence.
Central Structures
Our Central Structures play an important role in supporting, coordinating and supervising essential functions, to maintain a seamless and productive work environment for our researchers. The Central Structures form the backbone to ensure that all projects receive the necessary resources and run smoothly. Working in collaboration with the university, the Hertie foundation and other institutions, Hertie AI's Central Structures are dedicated to empowering AI innovation and driving progress in the field of artificial intelligence.
Advisory Board
The Advisory Board of the Hertie Institute for AI in Brain Health comprises a panel of distinguished experts from various fields of AI, healthcare, sciences, and business leadership. Their extensive experience and expertise significantly contribute to the success and strategic direction of the Institute. The members of the Advisory Board assist the Institute in identifying trends and developments in AI in healthcare, as well as formulating recommendations for future research directions and partnerships.
The Advisory Board convenes regularly to discuss strategic decisions, provide feedback on ongoing projects, and explore new opportunities to advance AI in healthcare. Their diverse perspectives and commitment are invaluable to the Institute's mission of driving innovation and enhancing healthcare delivery through AI.
Scientific Computing
Hertie AI cooperates with the strong and innovative AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center).
The ML Cloud, is a state-of-the-art compute infrastructure with powerful AI CPU and GPU compute capacities, petabyte-scale storage volumes, used by more than 400 researchers and engineers. In cooperation with the ML Cloud the Scientific Computing Unit provides computing and storage capacities including extensive data resources for Hertie AI researcher.
Hertie AI uses and benefits greatly from shared infrastructures with these initiatives, like the Machine Learning Cloud (ML Cloud), but has special compute requirements due to its goal to analyze brain data and simulate neural circuits.
Theerfore the Scientific Computing Unit is responsible for managing and optimizing our high-performance computing environment specifically designed for AI workloads. This ensures that the system operates at peak performance, supporting our researcher with reliable, scalable computing resources.