Every day, Anna Amrhein has to find new solutions and use her expertise to strike a balance between her colleagues’ needs and the regulations they must comply with. In this sixth part of our employee profile series, we’re stepping out of the labs and into the purchasing department.
Tom Haider has been on an expedition to find his research focus which took him halfway around the world. He arrived at the question of how to implement AI research in practice. Part 5 of our employee portraits series.
Cyber-physical systems (CPS) integrate software algorithms and physical structures. To exceed the simple embedded systems of today, advances in CPS require several properties, particularly adaptability, resilience, and safety. Lean management of CPS with resilient architectures satisfies these requirements by combining data distribution with service-oriented structures. A practical use case: a moving robot in a warehouse.
Poulami Sinhamahapatra doesn’t just work on new developments at Fraunhofer IKS – in her free time she also writes poetry and blog posts in English and Hindi. She was inspired to enter the worlds of art and research by reading science fiction books. Part 4 of our employee portraits series.
Fraunhofer IKS is carrying out research into safe software applications for quantum computers. The work is part of the new Bavarian initiative Munich Quantum Valley.
There’s nothing Ania Kosmalska likes more than taking a computer program and a few electronic gadgets and experimenting in her daily life. But these days, she devotes a large part of her free time to her young daughter. Part two of our employee profile series.
Science needs to prove that systems based on artificial intelligence (AI) are safe enough. That is what Prof. Simon Burton, who recently became Division Director for Safety at Fraunhofer IKS, is calling for. In this interview he explains the institute’s approaches to ensuring safety.
When it comes to environmental protection and climate action, most people think of renewable energies, electric cars and sustainable consumer goods. Very few would associate it with artificial intelligence (AI), but in fact AI has a crucial part to play in the fight against pollution and climate change.
Reconciling safety, performance and reliability in cloud-based cognitive systems is no easy task. Especially in safety-critical autonomous systems such as driverless cars, expectations rightly assume that all three requirements are implemented at the highest level. However, this comes up against limited resources. The Fraunhofer IKS has developed an approach for optimising safety, performance and reliability depending on the current situation and concrete applications: flexilience.
Deep Neural Networks (DNNs) have proven their potential. This applies above all to their use in the laboratory. Their performance in real-world applications leaves a lot to be desired. One major problem is the estimation of uncertainty. A closer look at methods that meet this challenge.
