About us
WestAI is one of four AI service centers that the Federal Ministry of Education and Research (BMBF) has been funding since the end of 2022 to advance AI research in Germany and promote its transfer into practice.
Our focus is on offering start-ups, small and medium-sized enterprises and scientists a wide range of AI services.
In a consortium of various scientific institutions, we conduct research on transfer learning and multimodal AI.
Our goals
consulting services for the successful deployment of ai models
easy access to powerful ai computing infrastructures
excellent research on large-scale, multimodal and transferable ai models
access to and targeted use of multimodal ai models
True to the motto “Finally getting started with AI!”, we support the use of Artificial Intelligence in practice. At WestAI, we offer business and science the extraordinary opportunity to benefit from our excellent AI research, our expertise, and even our AI hardware: From consultations and training, research collaborations for custom-fit AI solutions, access to multimodal and generative AI models and even AI computing resources — our AI service offering is diverse.
Multimodal AI is at the heart of our work. Whereas previous interactions between humans and AI were often limited to text input, multimodal AI is able to process text, images, and sounds. This considerably expands the functionality and potential of AI. Another focus is research into transferable AI models. This is a method of machine learning in which the knowledge from previously trained AI models is used for new problems. This can make the models more sustainable by saving time and resources and increasing the efficiency of the AI.
Our research therefore focuses on large-scale multimodal transfer learning of AI models. The WestAI partners form a unique and complementary consortium for this purpose and contribute their respective expertise from the fields of text, audio, image, 3D, and sensor data processing.
The computing capacities of Forschungszentrum Jülich and RTWH Aachen are available to adequately train and provide these (large) models.
The WestAI Partners
With the WestAI Service Center, a consortium of excellent scientific institutions in North Rhine-Westphalia has been formed under the leadership of the University of Bonn. The center brings together complementary expertise from various fields of AI application in order to develop new, powerful and efficient multimodal AI models for Germany.
The following overview briefly introduces the WestAI partners and their areas of expertise:
University of bonn
The University of Bonn is one of the few selected universities of excellence in Germany. It was founded in 1818, offers degree programs in a wide range of subjects and has around 33,000 students, 640 professors and 6,900 employees. WestAI is headed by Prof. Dr. Stefan Wrobel from the Institute of Computer Science.
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In the THE (Times Higher Education World University Ranking) 2023, the University of Bonn was voted one of the top 10 German universities. Six Clusters of Excellence, 12 Collaborative Research Centers, 5 Research Training Groups, 8 Research Units and many outstanding research awards (ERC, Leibnitz, Nobel, Fields) testify to its qualities. Together with TU Dortmund University, the University of Bonn is one of the two universities working together in the Lamarr Institute, which is permanently and institutionally funded by the BMBF and the state of North Rhine-Westphalia. The University of Bonn participates in WestAI through its Institute of Computer Science, which has AI as one of its strategic focal points and contributes expertise in the following areas:
- Automated analysis of large amounts of data using intelligent algorithms,
- Computer vision and AI research,
- Cognitive robotics, computer vision and machine learning,
- Research in the areas of material representation, rendering, geometry processing and architectural geometry,
- high-performance computing and data analytics.
As part of the research work, the University of Bonn will investigate the automatic construction of category trees for non-vectorial data in audio, video and medical data analysis and thus contribute solutions for data management and the integration of heterogeneous data. In addition, the researchers will train a large AI model for holistic video understanding and make it available to the public. The efficient transfer of this model to specific application scenarios and its operation on embedded inference accelerators will also be researched in the context of WestAI.
Fraunhofer Institutes
IAIS, FIT & SCAI
The Fraunhofer Institute Center Schloss Birlinghoven (IZB) with the Fraunhofer Institutes IAIS, FIT and SCAI is one of the leading research centers for applied research in the field of Artificial Intelligence (AI) in Germany. More than 600 researchers in three institutes develop innovative AI technologies and bring them directly into practical application in various industries together with companies.
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Fraunhofer IZB is a leader in the development of multimodal AI models, large-scale language models, especially in collaboration with the OpenGPT-X project, and hybrid AI. The focus is on the development of state-of-the-art AI technologies that can process multimodal data — for example text, image, audio, video, 3D and temporal data — and thus enable advanced applications in various fields. This technology and expertise will be offered within WestAI via an AI-on-demand platform and self-services, providing companies and researchers with convenient access to powerful AI resources. Fraunhofer experts also host courses and training programs that provide industry professionals with critical skills in data science and artificial intelligence.
The Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS is one of the leading scientific institutes for AI, machine learning and big data and is shaping the digital transformation of our working and living environment: with innovative AI applications for industry, health and sustainability, with future-oriented technologies such as large AI language models or quantum machine learning, with offers for training and further education or for testing AI applications for security and trustworthiness. As one of four leading partners, Fraunhofer IAIS conducts cutting-edge research at the Lamarr Institute for Machine Learning and Artificial Intelligence, which4 is permanently funded by the federal government and the state of North Rhine-Westphalia as part of the German government’s AI strategy. The direct transfer of research results, particularly to SMEs, is ensured by the KI.NRW competence platform, which Fraunhofer IAIS manages as the central networking initiative of the state of North Rhine-Westphalia on the topic of artificial intelligence.
The Fraunhofer Institute for Applied Information Technology FIT focuses on human-centered digital transformation. It applies artificial intelligence and data science methods in various areas, such as healthcare and energy. FIT is linked to RWTH Aachen University via the Bonn-Aachen International Center for Information Technology (b-it) and coordinates the BMBF project FAIR Data Spaces.
The Fraunhofer Institute for Algorithms and Scientific Computing SCAI specializes in numerical simulation, optimization, machine learning and bioinformatics. Its interdisciplinary projects integrate applied mathematics, computer science and software technology with various industries such as the automotive industry, mechanical engineering, pharmaceuticals and others. SCAI is closely networked with the Departments of Mathematics and Computer Science at the University of Bonn.
Forschungszentrum Jülich
Forschungszentrum Jülich (FZJ) is a member of the Helmholtz Association and one of the largest research centers in Europe. FZJ is home to the Jülich Supercomputing Center (JSC), one of the three national supercomputing centers in Germany.
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The FZJ has more than 30 years of experience in supercomputing research and service and operates Tier 0 and Tier 1 supercomputers. In addition to various prototype systems in the exascale area, the JSC operates JUWELS, the most powerful computing system in Europe. With its 3,744 NVIDIA A100 GPUs and high-bandwidth InfiniBand connections, JUWELS offers the ideal computing platform for AI models of all sizes. The JURECA supercomputer is another backbone for the local research landscape and, with its more than 700 NVIDIA A100 GPUs, is also suitable for large-scale AI applications. In order to provide in-depth expertise on the use, optimization and scaling of applications on accelerators such as GPUs, JSC operates joint labs such as the NVIDIA Application Lab.
Within the Jülich Supercomputing Center (JSC), several groups contribute to WestAI. The ATML Scalable Learning and Multi-Purpose AI (SLAMPAI), led by Jenia Jitsev, focuses on how deep learning at ever larger scales can enable generic models that can be reused and efficiently transferred to different domains and tasks. SLAMPAI works closely with LAION to explore and expose multimodal models and datasets required for reproducible training at larger scales. In the Simulation and Data Lab Applied Machine Learning (SDL AML), led by Stefan Kesselheim, new applications of AI methods are developed in close collaboration with scientists from various fields. The Earth Systems Data Exploration research group, led by Martin Schultz, develops innovative methods and tools for integrating and analyzing complex, heterogeneous and large data sets related to air pollution, weather and climate, with a particular focus on the application of deep learning on a large scale.
The Peter Grünberg Institute (PGI) of the FZJ is also involved in WestAI. There, research is carried out in the fields of quantum computing and neuromorphic computing within the framework of physical information processing. The institutes PGI-15 (Neuromorphic Software Ecosystems) under the direction of Prof. Emre Neftci and PGI-14 (Neuromorphic Compute Nodes) under the direction of Prof. John Paul Stachan focus specifically on the development of hardware, software, and algorithms for neuromorphic computing. Here, concepts for large-scale and energy-efficient AI computations are developed using non-von Neumann computing architectures such as memristor-based processors-in-memory (PIM) and spiking neural network hardware (e.g., Intel Loihi, SpiNNaker 2).
RWTH Aachen University
The Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen is the second largest university for technical degree programs in Germany and has been successfully named one of the few universities of excellence in Germany twice in a row in the Excellence Initiative of the federal and state governments.
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The participation in WestAI in the role of a resource and service provider completes the strategy of the AI Center at RWTH Aachen University. As NHR4CES, the RWTH IT Center operates a national HPC service and already offers the functionalities for using computing power for machine learning. A total of four working groups at RWTH Aachen University are contributing their expertise and infrastructure to the project.
The IT Center (ITC), headed by Prof. Matthias Müller, together with FZ Jülich, is providing the basic infrastructural building blocks for training large AI models in WestAI. To this end, the capacities of the ITC’s HPC will be expanded with the necessary GPU hardware as part of the project and low-threshold access will be made possible through the provision of services. To enable WestAI partners to use the resources efficiently, the ITC offers dedicated courses on how to operate the HPC.
The Chair of Computer Science 5, Information Systems and Databases (DBIS) under the direction of Prof. Stefan Decker: Development and provision of services in the areas of “Resource Hub” and “Development Service”, as well as research in the area of “Scalable Data Management”. The chair works closely with the Fraunhofer FIT, which is also headed by Prof. Stefan Decker. The chair and the FIT work on many data space projects, including the European Union’s Dataspace Support Office, Data Space Culture, Gaia-X infrastructure, the NFDI, and many more. Together with the FIT, the chair thus establishes the connection between AI technologies in WestAI and data spaces in a national and international context.
The Chair of Computer Science 13, Computer Vision Group (CVG) under the direction of Prof. Bastian Leibe: research in the areas of “Pre-training and Scaling”, “Efficient transfer and domain adaptation” and “Domain-specific application”.
The Machine Tool Laboratory (WZL), represented by Prof. Robert Schmitt, is one of the largest production technology institutes in Europe and has a strong industrial focus. In the project, the WZL contributes to the establishment of large AI models and transfers them into dedicated applications. To this end, the WZL develops and implements service processes that contribute to a successful customer experience and offers interested representatives from research and industry individual advice on the application of large-scale AI models. In addition, the WZL monitors the progress and success of the WestAI AI Service Center through the role of Quality Manager on the Steering Board.
TU Dortmund university
The Technical University (TU) Dortmund is one of the 20 largest universities in Germany and offers a diverse range of courses with more than 80 Bachelor’s and Master’s degree programs with a total of around 30,000 students.
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TU Dortmund University is also listed among the “top ten” of Germany’s most research-intensive universities in five subject areas, including Computer Science. As part of WestAI, TU Dortmund University is dedicated to research into the compression of large AI models in order to be able to run powerful processes efficiently even with limited computing resources. One focus is on the development of methods for the identification and efficient transfer of learned knowledge. Particular attention is paid to the processing of data with an irregular structure. Furthermore, the extent to which geometric compression of model parameters can be achieved using zonotopes is being investigated. In addition, established data structures are linked with irregular data for multimodal learning.
Paderborn university
Paderborn University is a versatile campus university with over 20,000 students and a wide range of around 70 degree courses. Its Faculties of Computer Science and Business Informatics are outstanding and occupy top positions in various university rankings.
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In WestAI, the focus of research work is on the audio component for large AI models in order to improve multimodal learning. Innovative approaches are being developed to enable efficient temporal modeling in audio data. The AI models are tested for their ability to generalize and further developed for application-specific model transfer. In addition, techniques for model compression in resource-constrained applications are being researched. The collaboration with WestAI aims to successfully integrate the developed audio components into multimodal learning and make them available via services.
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