Cognitive systems have the ability to adapt to their environment and as a result, solve complex tasks on their own. Fraunhofer IKS conducts research into safe and dependable cognitive systems.
Will the automobiles of the future drive autonomously? This vision of the future will become reality only when autonomous driving is safe. With this in mind, Fraunhofer IKS works on adaptive automobile software architectures.
The goal of Fraunhofer IKS is to take advantage of machine learning technologies in order to design a future that is safe. AI technologies must be 100 percent dependable, especially when it comes to safety-critical applications.
Artificial intelligence (AI) is a key technology for the future medicine, because AI can combine and analyze large amounts of data in a very short time. Fraunhofer IKS conducts research on the validation of such digital applications.
The term Industry 4.0 refers to the digitalization of production and manufacturing. In order to safely exploit the corresponding advantages, connected and automated production systems must function first and foremost in a dependable manner.
The electronics inside vehicles and machinery are growing increasingly complex. It takes more advanced safety mechanisms to tame this complexity. This is why safety engineering is a focal point of research at Fraunhofer IKS.
Smart Farming makes it possible to simultaneously render agriculture more sustainable, efficient and resilient. Fraunhofer IKS supports manufacturers of agricultural machinery, technology or software in the development of solutions for smart farming.
Quantum computers could enable new applications. Fraunhofer IKS is researching safe software applications for quantum computing so that the calculations can be relied on.
Under the auspices of Fraunhofer IKS, an international working group is developing norms and standards that deal with artificial intelligence from a safety perspective: the ISO/PAS 8800 standard.
By using a digital twin, production processes can be optimized and problems such as autonomous driving detected and solved using existing data before they arise in physical reality at all.
In DevOps, a variety of tools are used and a specific cultural philosophy is applied with the goal of automating and integrating the processes between the software development teams, also known as developers, and the IT teams.
To bring about a climate-neutral and economically attractive transport mix, funding projects in Germany and the EU as well as companies in the field of logistics and transport are increasingly looking into fully automated trains.
Fraunhofer Institute for Cognitive Systems IKS