A simulation designed by Fraunhofer IKS paves the way for robots and humans to interact safely — without reducing efficiency.
In modern perception applications, such as in medical engineering, models based on artificial intelligence (AI) are increasingly being used due to their strong performance. However, this increasing performance often comes at the cost of the transparency of results. An online tool developed by the Fraunhofer Institute for Cognitive Systems IKS can help here.
Quantum computing has the potential to train artificial intelligence in medical diagnostics more efficiently. This could make diagnoses more accurate even when there is little data available. In the future, medical professionals expect to see improvements in the screening, diagnosis and progress monitoring of brain tumors, for example.
Safe intelligence is the central research topic of the Fraunhofer Institute for Cognitive Systems IKS. This topic is very important from a technology perspective as well as with regard to the economy and society. The two Chairs of the Advisory Board for the IKS development project see it the same way — each from their own perspective.
Fraunhofer IKS is part of the New Work@Fraunhofer initiative. It’s a topic everyone is talking about, but what does New Work actually mean? Together with our colleagues, we will explore this topic — and above all, the question of how Fraunhofer IKS is making meaningful work a reality.
As head of the Business Development group, Anna Guderitz leads a team that liaises between science and industry. In part eight of our employee profile series, she explains what particularly appeals to her about her role.
Fraunhofer IKS has established an advisory board to provide expert support to the IKS development project. The advisory board convened for its first regular meeting on April 14. The two Chairs, Thomas Gallner and Prof. Thomas Seidl, talk about their motivation for getting involved. And about the aspects on which they intend to focus.
Artificial intelligence (AI) has to be able to handle uncertainty before we can trust it to deliver in safety-critical use cases, for example, autonomous cars. The Fraunhofer Institute for Cognitive Systems IKS is investigating ways to help AI reason with uncertainty, one being the operational design domain.
High-performance centers pool together the expertise of Fraunhofer Institutes at a regional level and reinforce this know-how through collaboration with additional university and non-university research organizations. In Munich, the Fraunhofer Institute for Cognitive Systems IKS is a partner in the High-Performance Center Secure Intelligent Systems LZSiS.
Andreas Kreutz, research engineer at Fraunhofer IKS, likes breaking new ground — both in his research and in his spare time. Part seven of our employee profile series.
