NEISS (Neuronal extraction of information, structures and symmetries in images)

The NEISS-project (Neuronal extraction of information, structures and symmetries in images) promotes digitization in various fields of knowledge using methods of artificial intelligence. The common approach is based on a consistent methodological basis. It uses current machine learning technologies to capture, analyze and extract various types of information in images and data.

The project consortium includes partners from five institutes of the University of Rostock and the Institute for Plasma Physics of the Max Planck Society in Greifswald, which represent a wide range of scientific foundations and applications in mathematics, computer science, natural sciences and humanities. The project is exemplary interdisciplinary, it would like to initiate an increased clustering in the field of information and communication for the regional innovation strategy of the state Mecklenburg-Vorpommern.

Mathematicians and computer scientists develop the theoretical and technological foundations. In the fields of quantum optics and nanophotonics physicists as well as physical chemists analyze tomographic image data. Plasma physicists reconstruct measured values ​​from infrared images that support the control of a nuclear fusion reactor. Finally, germanists extract complex information from natural language, namely texts from German literature. What brings all of these applications together is the task of implementing effective algorithms in software modules ready for application.

Project duration: 01.07.2019 - 30.06.2022