Network and Cooperation

Networking for a head start

In order to successfully exploit the potential of Artificial Intelligence (AI) and Machine Learning (ML), Fraunhofer IAIS not only relies on the networking of data, machines and technologies – but also on strategic cooperation with regional and international partners, such as universities, start-ups and companies. Within the Fraunhofer-Gesellschaft, Fraunhofer IAIS also cooperates in alliances on various key topics.

© Fraunhofer IAIS

Fraunhofer Big Data and Artificial Intelligence Alliance

With more than 30 institutes, the Fraunhofer Big Data and Artificial Intelligence Alliance is the largest of the Fraunhofer-Gesellschaft. Its mission is to accompany companies on their way to becoming a "data-driven company". The experts support the implementation of Big Data strategies, develop software and data protection-compliant systems, and train specialists and managers to become data scientists.

Fraunhofer ICT Group

Today, everyday life and work is inconceivable without information and communication technology. It is characterized by a fast pace of developments, short innovation cycles and increasingly complex software systems. In all these cases, Fraunhofer IUK is the direct contact for companies and users. The group is the largest IT research organization in Europe.

University of Bonn and b-it

Bundled research expertise door to door - Fraunhofer IAIS and the neighboring Institute for Computer Science at the University of Bonn as well as the Bonn-Aachen International Center for Information Technology (b-it) work closely together in common areas of research and interest.

Competence Platform KI.NRW

North Rhine-Westphalia is to become a leading national location for applied artificial intelligence and establish itself in international networks – under the leadership of Fraunhofer IAIS. The vision:

Excellence in research and education.
Success in business.
Ethics in implementation.

One goal of KI.NRW is to develop a test catalog that expert third parties can use to certify AI systems. In the process, both technical quality criteria, such as reliability and security, and ethical and moral criteria, such as transparency and fairness, will be given sufficient consideration.

Competence Center Machine Learning Rhine-Ruhr

ML2R connects the TU Dortmund University, Fraunhofer IAIS, the University of Bonn as well as Fraunhofer IML to one of the central hubs for cutting-edge research and transfer in Machine Learning (ML) in Germany. The focus is on research and development of modular ML applications with resource-, knowledge- and human-oriented approaches.

Cognitive Internet Technologies CCIT

The goal of the CCIT is to develop cognitive technologies for the Industrial Internet. The cluster is divided into the three research centers IoT-COMMS, Data Spaces and Machine Learning (RCML), the latter under the leadership of Fraunhofer IAIS.

In the Machine Learning research center, "Informed Machine Learning" is being driven forward in order to expand approaches that draw not only on data but also on existing expert knowledge and models from industry.

Artificial Intelligence for the European Union AI4EU

AI4EU promotes the exchange of AI expertise, knowledge and tools in Europe. The project aims to increase public and private investment in AI technologies, facilitate access to data and development tools, and educate and train future experts from all economic sectors. It also provides ethical guidelines for AI development over the next decade.

Federal Office for Information Security (BSI)

Fraunhofer IAIS and the German Federal Office for Information Security BSI are leading a cooperation to advance the development of an AI certification "made in Germany". The goal of the collaboration is to develop test procedures that can serve as a basis for technical standards and norms.

Big Data Europe Integrator Platform BDI

The open source platform is a beginner-friendly system for EU-wide data management. It analyzes large data sets in a user-friendly way and helps to solve the seven biggest societal challenges of the EU, such as "Health, Demographic Change and Wellbeing" or "Safe, Clean and Efficient Energy".

Critical Infrastructures Preparedness and Resilience Research Network

Natural disasters, terrorist attacks or serious technical defects pose challenges to emergency forces and operators of critical infrastructures, primarily because of their suddenness. The goal of the "Association for the Improvement of Resilience of Vital Infrastructures in Europe (2E!SAC)" is therefore a European competence center with country-specific protection concepts and cross-border standardization.

International Data Spaces Association IDSA

Within the initiative, which was founded in 2014, the Fraunhofer-Gesellschaft is working with around 100 companies on a secure data room. The goal is controlled and secure exchange as well as easy integration and use of data - even across national and company borders. Fraunhofer IAIS is coordinating the work on the reference architecture model and is responsible for linking it with other initiatives.

Roberta® initiative

Since 2002, "Roberta® - Learning with Robots" has been teaching digital skills in Germany and internationally as an initiative of Fraunhofer IAIS. Roberta was initiated with the support of the BMBF and is today one of the largest initiatives for digital education in Europe. The core of Roberta is the hands-on teaching of STEM content in programming and robotics courses using the graphical Fraunhofer programming platform Open Roberta® Lab – across all subjects, from elementary school to high school graduation.

Open Roberta Lab is also being used more and more in education and training, thus also offering employees an introduction to programming.

 

Fraunhofer spin-off Convit

Promoting technology transfer, awakening a founding spirit - with Convit GmbH, a Fraunhofer spin-off has emerged that combines our expertise in the fields of Big Data Analytics, Machine Learning and Linked Data with professional software development and modern development methods.