Research at the interface between AI, high-performance computing, and big data analysis holds immense potential for transformative advancements in various fields. By combining AI algorithms, powerful computing resources, and the ability to process massive amounts of data, researchers at ZIB can unlock new insights and solutions to complex problems. This multidisciplinary research area enables the development of efficient algorithms at the interface between machine learning, simulation, and optimization. Moreover, the synergy between AI and high-performance computing allows for the training and deployment of deep learning models at scale, enabling breakthroughs in areas such as digital health, image processing, or explainability. Additionally, the integration of big data analysis techniques provides the means to extract valuable information from diverse data sources, leading to improved predictions and enhanced data-driven decision-making.
