The CEE AI center is an alliance of high-performance organizations in the Dresden region and reflects the goals of the Artificial Intelligence Strategy of the Federal Government and the European Union. The participating partners would like to lay the foundation stone to bundle the forces for funding measures and large-scale projects in the Dresden region.
CEE AI
Center for Explainable and Efficient AI Technologies
Welcome
CEE AI at a glance
We work towards Explainable and Efficient AI technologies, hence the name CEE AI. Our research hub was initially formed by the Dresdeb University of Technology and the Fraunhofer Society in Dresden. You can learn more by downloading our PDF brochure.
TU Dresden
The Technische Universität Dresden is one of the top universities in Germany and Europe.
Fraunhofer Gesellschaft
The Fraunhofer-Gesellschaft is the largest organisation for applied research in Europe.
The City of Dresden
Dresden does a greater degree of research than any other city in Germany. It comes top of the ranking among large German cities regarding both, the scientific workforce and the number of research institutes.
In recent years, we have seen that artificial intelligence (AI), when used responsibly, can help solve some of the world’s biggest challenges. The development of AI affects all our lives and cuts across different organizations. Because the challenges underlying AI span several scientific areas, we can only exploit its full potential by bringing together researchers and practitioners from different fields. Within the CEE AI consortium, two major research organizations — Dresden University of Technology (TUD) and the Fraunhofer Society — have joined forces to achieve this goal.
Mission
What is CEE AI doing?
CEE AI supports excellent scientific research spanning the entire spectrum, including hardware support, device communication, AI approaches, and the transfer of knowledge into practice. Particular focus will be given to efficient and explainable AI, as well as the development of strong AI partnerships in the region for new projects.
Read more about our mission
Vision
Where do we want to be in the year 2030?
Our goal is to make AI approaches more understandable and certifiable to improve acceptance in society and reduce the risks of using AI technology. By 2030, we intend to develop AI approaches that outperform current state-of-the-art techniques in many application areas, while offering the added benefit of being explainable.
Read more about our vision
Partners
CEE AI Partner Network
The network of partners is constantly growing.
TUD | The Collaborative University
inventive. transformative. engaged.
The Dresden University of Technology is one of the top universities in Germany and Europe. It is strong in research and is considered first-rate with respect to the range and quality of its study programs. It is also closely interconnected with culture, business, and society.
As a modern, comprehensive, multidisciplinary university with 17 faculties in five schools, it has a broad and diverse scientific spectrum that few other German universities can match. The TUD’s large campus community comprises 29,000 students and approximately 8,400 employees, including 600 professors. TU Dresden offers 121 degree programs, providing a foundation for interdisciplinary learning and research.
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“We invent the future.”
The Fraunhofer Society is the largest organization for applied research in Europe. It conducts contract research for industry, the service sector, and public administration, and it offers information and services. The association is named after Joseph von Fraunhofer (1787–1826), an illustrious Bavarian researcher, inventor, and entrepreneur.
The Fraunhofer Society participates in international networks and organizations, such as the European Research Consortium for Informatics and Mathematics (ERCIM), the European Association of Research and Technology Organizations (EARTO), the Global Research Alliance (GRA), and the World Association of Industrial and Technological Research Organizations (WAITRO).
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Faculty of Computer Science
The TUD has one of the largest computer science departments in Germany. With 26 professors, the department educates 2,000 students and 220 graduates, as well as 30 Ph.D. candidates, per year. The department earns over 10 million euros in third-party funds each year, making it the second-best grant-raising department in Germany. The department participates in three excellence clusters and two Collaborative Research Centers (SFB 356 and 248). It is also involved in three PhD training groups (Graduiertenkolleg) and a Max Planck IMPRS Graduate School.
Faculty of Mechanical Science and Engineering
The Faculty of Mechanical Science and Engineering has been at the heart of TU Dresden’s development, and today, it is the university’s largest faculty.
Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering at the TUD is defined by tradition and innovation, successful education and research, and distinguished scientists and highly motivated young researchers. The faculty covers the entire field of electrical engineering and information technology in teaching and research.
Cluster of Excellence Physics of Life (PoL)
PoL’s central vision is to understand the physical principles and laws underlying the dynamic organization of living matter across scales, from molecules to organs. This constitutes a formidable learning and inference task involving very large amounts of data (petabytes at several GB/s). An entire research avenue (RA5) at PoL is dedicated to AI and machine learning (ML) research for the biomedical sciences. This includes developing self-learning autonomous microscopes, data-driven model inference, and inferring mathematical equations and physical laws from biomedical image data. It also includes ML-based computer vision for the life sciences and immersive analytics of dynamic, multidimensional datasets.
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Centre for Tactile Internet with Human-in-the-Loop (CeTI)
CeTI focuses on how skills can be exchanged and how collaboration can be achieved between humans and machines in both real and virtual environments. The goal is to develop innovative solutions to major global challenges, including pandemics, aging populations, skill shortages, climate change, and geopolitical tensions. CeTI explores a wide variety of use cases, such as immersive remote collaboration, advanced telepresence to reduce travel, and in-house development to enhance technological independence.
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Center for Advancing Electronics Dresden (cfaed)
The Cluster “cfaed” focuses on breakthroughs in advancing electronics to enable previously unforeseen innovations. The main research focuses result from the Excellence Cluster Phase II (2012–2018) and existing excellence in Dresden. The cluster aims to impact the future of electronics by initiating revolutionary applications, such as electronics with zero boot time, terahertz (THz) imaging, and complex biosignal processing.
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Process2Order Lab (P2O Lab)
The Process-to-Order (P2O) Lab addresses the challenges that the process industry faces due to individualization, globalization, and urbanization.
In 2018, TU Dresden’s School of Engineering founded the P2O Lab to facilitate the digital transformation of process industries. The lab brings together researchers from mechanical engineering, electrical engineering, and computer science who contribute to this field of research, including product and process design, process simulation and automation, and information modeling and integration. The lab’s mission is to bridge the gap between disconnected digital technology disciplines in academia and industry.
Next Generation ML Lab
In spring 2019, the faculties of Computer Science, Electrical Engineering, and Information Technology agreed to establish an interdisciplinary lab for next-generation machine learning. The lab will bring together researchers who are developing future machine learning techniques and those who are using machine learning techniques in application areas such as computer vision and data science. The lab’s mission is to develop generalized machine learning techniques, including model inference, symbolic learning, and distributed and hardware-based learning.
Center for Information Services and High Performance Computing
ZIH’s research focus on parallel and data-intensive computing is based on its powerful high-performance computing and storage system. The company focuses on developing new methods and algorithms to solve the growing challenges of science and research. Additionally, ZIH addresses significant research challenges in acquiring, managing, and exploiting large data sets for a wide range of users.
Scalable Data Services and Solutions (ScaDS.AI)
The national competence center for Big Data, ScaDS Dresden/Leipzig, which is funded by the BMBF, started its second funding phase in October 2018. The ZIH, the TUD’s Faculty of Computer Science, and the Fraunhofer IVI are part of its expert team. The center’s unique feature is its integrated service center concept. Serving as a central point of contact for interested parties, the center promotes the development of Big Data applications and connects the application areas with large-scale methodical Big Data research.
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Fraunhofer IAIS
The Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) is the Fraunhofer Society’s leading institute for AI and one of Europe’s leading applied research institutions. With its new office in Dresden, Fraunhofer IAIS is expanding its expertise to our region, focusing on conversational AI, which allows humans to communicate efficiently with machines.
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Fraunhofer IWU
The Fraunhofer Institute for Machine Tools and Forming Technology (IWU) is a driving force behind innovations in research and the leading institute for resource-efficient production. With around 600 employees at our locations in Chemnitz, Dresden, and Zittau, we unlock the potential for competitive manufacturing. Our scientific and contract research focuses on components, processes, and complex machine systems — essentially, the entire factory.
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Fraunhofer IVI
Fraunhofer IVI employs over 120 researchers in three departments and collaborates closely with TU Dresden and TU Bergakademie Freiberg universities. IVI operates in a wide array of transportation-related research and development topics, including connected and automated vehicles, intelligent transportation systems, real-time traffic information, sensor technologies, and testing and certification processes. IVI also incorporates the information and communication sectors. Many of these fields use AI methods, such as machine learning and semantic technologies, in their current applications and plan to use more versatile and efficient AI technologies in the future.
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Fraunhofer IIS / EAS
Fraunhofer IIS is one of the most important industrial research facilities for developing microelectronic systems. In the Division Engineering of Adaptive Systems (EAS) in Dresden, more than 100 employees design reliable microchips and complex electronic systems using cutting-edge semiconductor technologies, and develop corresponding design methods. Other research areas include the development of intelligent sensor systems, data analytics, and new approaches to distributed control.
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Infineon
At the end of 2018, Infineon opened a design center for AI-related chips and automotive electronics in Dresden. Dr. Uwe Gäbler, a member of the Silicon Saxony network and initiator of several working groups for IoT applications, heads the center. The center will employ up to 250 people.
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Center for Systems Biology Dresden
The CSBD is a joint center of the Max Planck Society and the TUD. The center studies theoretical and computational approaches to living systems. Its areas of focus include theoretical modeling, deep learning, data-driven equation inference, smart microscopy, genome learning, numerical computer simulations, and high-performance computing.
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CD-CPPS
The CD-CPPS centers on designing effective collaboration between human operators and technology within cyber-physical production systems. The core research question is how to optimize the performance of the entire socio-technical system by combining the unique capabilities of humans and machines to work and create together.
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gAIn
Despite rapid progress in artificial intelligence (AI), serious issues with computing infrastructures and networked systems have emerged globally, potentially restricting AI and future technologies like communications, medicine, and robotics. AI applications consume enormous amounts of energy, risking standstills if energy supplies falter. To address this, researchers from TUD, Ludwig-Maximilians-Universität München (LMU), and TUM are collaborating on the “gAIn” (Next Generation AI Computing) pilot project. The main goal is to investigate new computing platforms, such as analog and biological computing, as well as the mathematic foundations of AI to address these problems.
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Center for Systems Biology Dresden
The CSBD is a joint center of the Max Planck Society and the TUD. The center studies theoretical and computational approaches to living systems. Its areas of focus include theoretical modeling, deep learning, data-driven equation inference, smart microscopy, genome learning, numerical computer simulations, and high-performance computing.
Visit the CSBD
CD-CPPS
The CD-CPPS centers on designing effective collaboration between human operators and technology within cyber-physical production systems. The core research question is how to optimize the performance of the entire socio-technical system by combining the unique capabilities of humans and machines to work and create together.
Visit the CD-CPPS
The Smart Systems Hub
The Smart Systems Hub is part of the de:hub national hub initiative of the Federal Ministry of Economics. Dresden and Leipzig promote smart solutions and enable the Internet of Things. Both metropolises are building on established structures with exciting start-ups, excellent research, and innovative established companies.
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5G Lab Germany
The 5G Lab Germany is a world-leading research center that focuses on the fifth generation of mobile communication systems. It has more than 20 TU Dresden professors and around 20 industry partners. Its mission is to conduct research on low-latency, resilient, and secure communication to promote digital transformation in Germany.
