AI Research Institutions in Rhineland-Palatinate
The University of Kaiserslautern-Landau (RPTU) is the only technical university in Rhineland-Palatinate with over 20,000 students, more than 300 professorships and over 3,000 employees as well as around 160 courses.
The Technical University emerged on January 1, 2023 from the merger of the Technische Universität Kaiserslautern and the Universität Landau. It combines an engineering and scientific orientation with a focus on the humanities and social sciences and has many years of expertise in teacher training for all types of schools.
The RPTU sees itself as responsible for making scientific contributions to the transformation processes of society and the economy, particularly on the topics of sustainability, digitization and education. It is also characterized by a high level of third-party funding and a variety of coordinated research projects.
RPTU Campus Kaiserslautern
0631 205-0, 0631 205-3200
RPTU Campus Landau
06341 280-0, 06341 280-31101
The University of Koblenz is the youngest university in Germany – and at the same time grounded in a long academic tradition. Its ethos is expressed in the university’s motto “continue discovering”. Four profile areas bring this uniquely together: Education, Computer Sciences, Culture and Education, and Material and Environment. The special characteristic of computer sciences at Koblenz is its broad and closely intertwined spectrum consisting of core Computer Sciences, Computer Visualistic, Software Engineering, Web and Data Science, Information Systems and eGovernment, and Digital Business Management. AI are a common theme in research and teaching, its critical application is a particular emphasis.
AI Universities of Applied Sciences
Koblenz University of Applied Sciences is located in the north of Rhineland-Palatinate on the beautiful Rhine River. With the goal of providing a comprehensive, high-quality education, graduates have the skills and know-how to meet any challenge in today's globalized and ever-changing job market.
With application-oriented and innovative research, Koblenz University offers decisive contributions in various fields of science and technology.
In the field of computer science research, the focus is on Data Driven Systems, and in Artificial Intelligence research, primarily in the application area of medicine and biotechnology as well as healthcare. This includes projects in the areas of molecular cancer research, medical technology, occupational health and safety, and clinical decision support based on electronic patient records and medical imaging. Since the end of 2022, the university has been cooperating closely with the University of Koblenz in the joint research college Data2Health "Trustworthy Data Analyses in Healthcare".
The methodological focus is on the areas of longitudinal data, image processing and computer vision, multimodal data, causal models and optimal control/reinforcement learning. Here, Koblenz University of Applied Sciences benefits from its many years of experience in the fields of statistics and data science and expertise in applied mathematics (bio- economic and technomathematics). Currently, these are being combined with new study programs focusing on AI, which are scheduled to start in 2024.
Mainz University of Applied Sciences is shaping the future of tomorrow and offers a place where socially relevant innovations are created and discourse is conducted between people from all walks of life on relevant innovations. It promotes applied research with a focus on innovative solutions for economic and social challenges through transdisciplinary thinking. By linking scientific thinking with practice-relevant issues, especially from AI, the disciplines of technology, design and business are brought together and taught and researched in a new light. Critical reflection, creativity, scientific work and a solution-oriented approach are central elements.
The topic of AI plays an important role in many different research areas and is thought in an interdisciplinary way. The use of AI in different application scenarios such as interior design, digital manufacturing or HRM is being analyzed. Complementary topics such as AR or VR, as well as specific AI topics such as intelligent algorithms and AI-based simulations, can be found as methods or research objects in all subject areas and experience interdisciplinary characteristics. This also applies to cooperations with companies and spin-offs.
Trier University of Applied Sciences stands for practice-oriented learning, forward-looking research, and teaching. It is a place of innovation, artistic as well as scientific work. With around 7000 students, it is one of the largest universities of applied sciences in Rhineland-Palatinate, located in the direct vicinity of Luxembourg and France. The diverse range of courses offered at the three campuses, Schneidershof, Campus Gestaltung, and Umwelt-Campus Birkenfeld, is unique in the region. The focus on artificial intelligence is reflected in the research areas "Intelligent Technologies for Sustainable Development" and "Life Sciences". The researchers in these focal points are united - often in interdisciplinary alliances - in their efforts to create solutions, resource-efficient technologies, and processes for the society and industry of the future.
Trier University of Applied Sciences, Environmental Campus Birkenfeld
06782 17-1819, 06782 17-1317
Trier University of Applied Sciences, Main Campus
0651 8103 0, 0651 8103 333
Die Lehre, Forschung und der Transfer der Hochschule Worms im Bereich künstlicher Intelligenz (KI) ist geprägt durch die interdisziplinäre Zusammenarbeit der Fachbereiche und Kooperationspartnern zur fachlichen, methodischen und technischen Bearbeitung domänenspezifischer Herausforderungen. Als international ausgerichtete und branchenorientierte Campushochschule mit den Schwerpunktbereichen Wirtschaft, Touristik & Verkehr sowie Informatik werden in anwendungsorientierten Forschungsprojekten maschinelle Lernverfahren eingesetzt, um herausfordernde Problemstellungen für verschiedene Einsatzbereiche zu lösen. Dazu zählen u.a. Medizin (wie die Krebstherapie mit neuartiger protonenbasierter Computertomografie), Cyber Security, Wirtschaftsinformatik, Sprachverarbeitung und Bildverarbeitung. In der Lehre werden KI-Lehrinhalte nicht nur in KI-Grundlagenfächern wie Machine Learning (Bachelor) und Deep-Learning-Spezialisierung (Master) unterrichtet, sondern auch in diversen Anwendungsfächern wie KI-Sicherheit, Visual Computing, Bildverarbeitung, E-Business und Digitalisierung sowie auch in Software-Architektur für die Digitalisierung thematisch konstruktiv integriert.
AI Research Insitutes
The Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern has been one of the leading research institutes in the area of software and systems engineering as well as innovation engineering for over 25 years. With its applied research, the institute develops innovative solutions for the design of dependable digital ecosystems, thereby accelerating the economic and social benefits for its customers.
Fraunhofer IESE provides support in mastering challenges in a wide variety of application areas, with particular expertise in the areas of “Automotive & Mobility”, “Production”, “Digital Business”, “Smart City & Smart Region”, as well as “Smart Farming” and “Digital Healthcare”. In over 2,000 customer projects, the institute has transferred cutting-edge research into sustainable business practices and innovative products, with the current focus topics being “Dependable AI”, “Digital Ecosystems”, “Digital Twin / Virtual Engineering”, and “System Modernization”.
Fraunhofer IESE is one of 76 institutes and research units of the Fraunhofer-Gesellschaft. Together they have a major impact on shaping applied research in Europe and worldwide, and contribute to Germany’s competitiveness in international markets.
Strategically, the Fraunhofer ITWM is positioned at the interface between simulation/mathematical modelling and Artificial Intelligence (AI), i. e. in the development of hybrid procedures that combine the advantages of the methods. Simulation also serves to improve the data situation. In the area of AI research, the focus is on self-learning models and the development of methods in large-scale deep learning in conjunction with big data.
In research, the institute develops deep learning methods – for example, for the detection of deep fakes – but also makes flat methods practicable that are particularly adapted to small data situations.
In a large number of current AI-oriented industrial projects, the Fraunhofer ITWM flexibly uses all available hardware solutions across all departments for development and implementation – from embedded processors, FPGAs, and workstations to high-performance GPU clusters (100 GPUs).
Max Planck Institut for Software Systems (MPI-SWS)
AI Research Initiatives
The Center for Ethics and the Digital Society (CEDIS) looks at digital technologies and artificial intelligence from an interdisciplinary perspective: Scientists from philosophy, computer science, pedagogics, linguistics, communication psychology and other socially relevant fields jointly research at RPTU how such key technologies can be used in an ethically and socially acceptable way. In the university potential area at the interface of ethics, AI research, society, pedagogics and linguistics, the transformation processes associated with digitalization in the various areas of life, such as healthcare, work, socialization and the environment, are analyzed and critically reflected. In this way, the respective applications with their opportunities and risks can be questioned with regard to the individual and the community, and courses of action for society and politics can be formulated and weighed up. CEDIS is now entering its second funding period. The spokesperson is Prof. Dr. Karen Joisten, Head of the Department of Philosophy at RPTU, Kaiserslautern Campus; co-spokespersons are: Prof. Dr. Mandy Schiefner-Rohs, Department of General Education, Kaiserslautern Campus, Prof. Dr. Ralf Becker, Department of Philosophy, Landau Campus, Prof. Dr. Jan Georg Schneider, Department of Linguistics, Landau Campus.