Project overview

The Prisma fund enables Prof. Dr. Alexander Breuer, Professor of Scalable Data and Compute Intensive Analysis at the University of Jena, to expand his expertise from the server to the mobile and embedded sector.

What is the perfect place to live for the baby boomer generation? To clarify this question, mathematical methods and AI technologies are analyzed that can support decision-making processes in municipalities.

Prof. Dr. Marco Kuhrmann has been appointed as Endowed Professor for Agile Systems Development (with a focus on regulated domains) at Reutlingen University starting in the winter semester of 2021.

The project objective is to design an AI-based, self-learning digital twin that automatically adapts to changing system conditions and simulates the production process and product life cycle as realistically as possible.

How can artificial intelligence in microbiome research lead to better early detection of Alzheimer's disease or type 2 diabetes? Novel AI models are being researched that are designed to predict the microbiome composition in the event of physiological changes.

In the interdisciplinary research center, the structural foundations of algorithmic intelligence are to be understood in greater depth, and thus the limits and possibilities of known machine learning methods are to be better grasped.

In pharmaceutical research, the early detection of undesirable or even absent effects of therapeutics represents the greatest hurdle to successful To achieve a breakthrough in the treatment of brain tumors, an AI-based model for the interplay of gene activity and therapy response is being developed. The goal is to predict the effect of drugs and optimize personalized therapies for cancer patients.

Prof. Dr. Christian Friedrich, Professor of Artificial Intelligence in Production is researching the development of intelligent software services that enable robotic systems to independently generate and execute assembly and disassembly plans.

Prof. Dr. Gerhard Neumann was appointed as Endowed Professor for Autonomous Learning Robots at KIT in January 2020.

75% of insect mass has been lost in the last 30 years. The BeeVision project team is therefore developing an AI system to monitor pollinator diversity by automatically recognizing the flight patterns of different insect groups.