Artificial Intelligence – Research and Application
Artificial Intelligence – Research and Application
Artificial Intelligence (AI) technology transforms and disrupts the way we perform and manage science. New and in particular large-scale AI methods and applications will become an important pillar of research for organisations that have the resources – talent, knowledge, technology, and data – to develop them.
Europe has both the required computing power and the expertise in software development to be innovative in the field of AI.
As a cross-domain research area, AI is covered by a wide range of activities in various groups and research domains. The Jülich Supercomputing Centre provides expertise and infrastructure, ranging from the collection of new data for AI model training, the training itself, and the research into novel AI methods to the development of a wide range of AI models, including foundation models. Expertise in various AI methods at JSC offer very good prerequisites for advancing the development and application of AI in the scientific domains. Utilizing synergies between researching and developing AI methods and their application for various research domains is a key objective at JSC. Synergies are developed between domains, method development, and technologies.
Applied Machine Learning“ at Jülich Supercomputing Centre and the „Helmholtz AI consultant team“ at FZJ: "We are helping to shape the future of AI: open, transparent and driven by science – for a strong European AI ecosystem.
AI Research in Science and Engineering requires close cooperation of applied informatics, numerical mathematics and AI with computationally and data intensive disciplinary fields such as neuro-, neutron, materials and earth system science, energy research, engineering, physics, chemistry, biology, and humanities. The research strategy is both domain-specific and cross-domain oriented.
Scalable Learning & Multi-Purpose AI“ and Scientific Lead & Co-Founder of LAION: "We ensure that the science behind core building blocks of AI – i.e. foundation models and datasets necessary for their creation – and their development remain open to the broad research community, and are not conducted exclusively behind closed doors by a few large industry labs.
AI Infrastructure at Jülich
The JSC aims to create excellent conditions for the use of AI. We achieve this, for example, by providing the necessary computing infrastructure and support to science and industry. Complex AI algorithms can only be trained and used on powerful supercomputers. JSC will soon host JUPITER, Europe's first Exascale supercomputer and one of the world’s fastest AI computers.
The JUPITER AI Factory (JAIF) serves as a one-stop shop for both research and industry, offering simplified access to JUPITER. The focus is on strategic key sectors, including healthcare, energy, climate change, education, media, the public sector and finance.
The research group Earth System Data Exploration (ESDE) develops innovative methods and tools for the integration and analysis of complex, heterogeneous, and big datasets related to air pollution, weather and climate.
The group Data Services and Infrastructure develops and operates generic data services for publication and sharing, as well as community specific data services. We also operate UNICORE and Cloud services integrated in various federated infrastructures.
The Simulation and Data Lab (SDL) Neuroscience is an interdisciplinary team of scientists and engineers with complementary backgrounds and skills, dedicated to supporting neuroscientists in using High-Performance Computing (HPC), Cloud and data resources for their research.
The group Data Services and Infrastructure develops and operates generic data services for publication and sharing, as well as community specific data services. We also operate UNICORE and Cloud services integrated in various federated infrastructures.
The group Data Services and Infrastructure develops and operates generic data services for publication and sharing, as well as community specific data services. We also operate UNICORE and Cloud services integrated in various federated infrastructures.
This ATML focusses primarily on the design, analysis, implementation and optimization of advanced time integrators (ATI) and space-time multilevel methods for extreme scale HPC systems.
The group Data Services and Infrastructure develops and operates generic data services for publication and sharing, as well as community specific data services. We also operate UNICORE and Cloud services integrated in various federated infrastructures.
The ATML Extreme-Scale AI and Simulation (exAIS) focuses on engineering algorithms, artificial intelligence (AI) workloads, and applications for scalability on the largest supercomputers and disruptive computing technologies.
The ATML Extreme-Scale AI and Simulation (exAIS) focuses on engineering algorithms, artificial intelligence (AI) workloads, and applications for scalability on the largest supercomputers and disruptive computing technologies.
The research group Earth System Data Exploration (ESDE) develops innovative methods and tools for the integration and analysis of complex, heterogeneous, and big datasets related to air pollution, weather and climate.
