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Quantum machine learning (QML) offers a promising pathway for early adoption in industrial settings. For QML solutions to be effectively implemented in production, dedicated access to quantum hardware is essential. The quantum hardware ecosystem is rapidly evolving, with most of the infrastructure hosted by cloud providers. However, this reliance on cloud services presents challenges, including latency, security concerns, and high costs which can impede real-time applications. Is there a way to circumvent these limitations?
»It´s important that AI decisions are transparent«
Artificial Intelligence fascinated the medicine graduate during his studies. This fascination remained even after he graduated: today, Dr. Johannes Karg conducts research at the Fraunhofer IKS on a wide range of applications for AI in medicine.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
There is great hope: even if quantum computers initially “merely” improve the simulations of quantum mechanical processes, they could, among other things, help to train AI systems more efficiently in the future. The first small quantum computers are already commercially available. But what potential do they actually have today?
Artificial intelligence opens up new economic opportunities for companies. However, the integration of AI raises significant safety concerns in safety-critical systems. This results in a gap between economic potential and safety, the economic safety gap. But generative artificial intelligence (Generative AI, GenAI) can help close it.
Holistic safety for road vehicles is the focus of the annual Safetronic conference (November 12–13, 2025, in Leinfelden-Echterdingen). In a video discussion, Fraunhofer IKS Director Prof. Dr. Mario Trapp and Program comittee member Hans-Leo Ross, CARIAD, talk about the future of mobility.
The safety of a product, i.e., not causing harm, is a crucial property for its persistent success on the market and avoidance of legal risks for the manufacturer. However, since perfectsafety is typically not achievable, the question what defines acceptable safety and what defines acceptable risks, i.e., risk acceptance criteria (RAC), arises.
Would you like to know more about the research of Fraunhofer IKS? Then take a look at our Safe Intelligence online magazine. Here you can find out more about our research projects and our employees.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
Holistic safety for road vehicles is the focus of the annual Safetronic conference (November 12–13, 2025, in Leinfelden-Echterdingen). In a video discussion, Fraunhofer IKS Director Prof. Dr. Mario Trapp and Program comittee member Hans-Leo Ross, CARIAD, talk about the future of mobility.
The safety of a product, i.e., not causing harm, is a crucial property for its persistent success on the market and avoidance of legal risks for the manufacturer. However, since perfectsafety is typically not achievable, the question what defines acceptable safety and what defines acceptable risks, i.e., risk acceptance criteria (RAC), arises.
“Standards are key to understand each other in an extended eco system”
Delphine Kervarec-Vicq, Product Safety Director at Valeo, is a new member of the program committee for Safetronic, the international conference on holistic safety for road vehicles. In an interview with Safe Intelligence online magazine, she talks about her motivation for joining the committee and explains the importance of safety for automated driving.
Without safety, new mobility solutions will fall to the wayside
Not only management consultancies, but also other strategic players see the increasing importance of Remote Driving Systems (RDS) for the transportation of the future. But is the concept safe enough? An extensive two-year operation without safety drivers has confirmed the technical feasibility and safety of RDS. And not only that: a comprehensive training framework for Remote Drivers has demonstrably improved performance and safety.
Would you like to know more about the research of Fraunhofer IKS? Then take a look at our Safe Intelligence online magazine. Here you can find out more about our research projects and our employees.
Quantum machine learning (QML) offers a promising pathway for early adoption in industrial settings. For QML solutions to be effectively implemented in production, dedicated access to quantum hardware is essential. The quantum hardware ecosystem is rapidly evolving, with most of the infrastructure hosted by cloud providers. However, this reliance on cloud services presents challenges, including latency, security concerns, and high costs which can impede real-time applications. Is there a way to circumvent these limitations?
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
The ability of a production system to adapt independently to new circumstances promises efficiency gains and thus cost advantages. This also applies to late change orders in the production process - a case for the new tool set from Fraunhofer IKS for flexible and resilient production.
A precisely defined operating environment is not only important for autonomous driving. The Operational Design Domain (ODD) also ensures safety for many other highly automated systems in rail transport, logistics and mobile robotics.
Simplicity meets efficiency: working safely with your robot colleague
Seeing and being seen - this not only counts in the social arena, but also in the efficient and reliable cooperation between humans and robots in industrial production. Fraunhofer IKS will be demonstrating what this is all about in particular at Automatica in Munich at the end of June under the motto: “Simplicity is key”.
Would you like to find out more about theresearch of Fraunhofer IKS on industrial automation? Then take a look at our Safe Intelligence online magazine:
»It´s important that AI decisions are transparent«
Artificial Intelligence fascinated the medicine graduate during his studies. This fascination remained even after he graduated: today, Dr. Johannes Karg conducts research at the Fraunhofer IKS on a wide range of applications for AI in medicine.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
Consultation projects play a crucial role in fulfilling the Fraunhofer mission of translating cutting-edge research into industry applications. Recently, Fraunhofer IKS cooperated with the South Korean company ZIOVISION on AI-based facial fracture segmentation from medical images. The successful outcome of the project demonstrates the potential benefits such collaborations offer to both partners.
Can Generative AI Revolutionize Modern Healthcare?
Artificial intelligence, especially large language models (LLMs), are seen by many as a key resource for an overburdened healthcare system. AI-supported automation in particular could quickly relieve the burden of knowledge management tasks. Before this can happen, security and safety challenges as well as legal requirements must be taken into account. Fraunhofer IKS research is dedicated to both of these aspects.
"The interaction between research and industry inspires me"
Dr. Katie Fitch has been head of the department Trustworthy Digital Health at Fraunhofer IKS since November 2024. Katie's enthusiasm for mathematics led her to the engineering section early on. Then she discovered medical AI research for herself.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
Safe.trAIn: AI as train conductor on regional railways
Autonomous driving is not only set to conquer the roads, but also offers enormous potential for driverless trains in rail transport. Proof of this is the safe.trAIn project, in which Fraunhofer IKS has taken on the central task of methodically assuring the AI functions.
Metrics as an indicator of AI safety: is that enough?
The performance of machine learning (ML) models is typically assessed using metrics such as accuracy, precision, recall, F1 score, etc. But how trustworthy are these single point estimates really? Such metrics reflect reality only partially and can provide us with a false sense of safety. Especially in safety-critical areas, this can be dangerous. Fraunhofer IKS develops a formal framework for the quantification of uncertainty which aims to make the residual risk “more computable”.
Fraunhofer IKS has joined the Fraunhofer Big Data and Artificial Intelligence Alliance. According to the Institute Director Mario Trapp, exchange and collaboration within the alliance make it possible to pool expertise and create synergies - to the benefit of customers.
MBO-KISS: The future of control applications in industry
Can AI revolutionize production control? This is the question the research project MBO-KISS (Methods for Evaluating and Optimizing AI-generated Control Applications Based on the Physical Simulation of Machines and Their Desired Behavior) aims to address. The project has started at the beginning of the year, with a total duration of three years. The goal is to investigate the possible usage of Large Language Models (LLMs) for generating and securely applying control applications in industrial production.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
There is great hope: even if quantum computers initially “merely” improve the simulations of quantum mechanical processes, they could, among other things, help to train AI systems more efficiently in the future. The first small quantum computers are already commercially available. But what potential do they actually have today?
Artificial intelligence opens up new economic opportunities for companies. However, the integration of AI raises significant safety concerns in safety-critical systems. This results in a gap between economic potential and safety, the economic safety gap. But generative artificial intelligence (Generative AI, GenAI) can help close it.
Consultation projects play a crucial role in fulfilling the Fraunhofer mission of translating cutting-edge research into industry applications. Recently, Fraunhofer IKS cooperated with the South Korean company ZIOVISION on AI-based facial fracture segmentation from medical images. The successful outcome of the project demonstrates the potential benefits such collaborations offer to both partners.
“Bringing the best technology safely into the vehicle”
Ensuring the safety of AI functions in vehicles remains a challenge that must be mastered step by step. However, visible progress is being made on the road to autonomous driving, says Dr. Reinhard Stolle, deputy director of the Fraunhofer IKS. And the success of ChatGPT & Co. is also likely to be leveraged for highly automated vehicles.
Would you like to find out more about the research of Fraunhofer IKS on artificial intelligence? Then take a look at our Safe Intelligence online magazine:
Quantum machine learning (QML) offers a promising pathway for early adoption in industrial settings. For QML solutions to be effectively implemented in production, dedicated access to quantum hardware is essential. The quantum hardware ecosystem is rapidly evolving, with most of the infrastructure hosted by cloud providers. However, this reliance on cloud services presents challenges, including latency, security concerns, and high costs which can impede real-time applications. Is there a way to circumvent these limitations?
There is great hope: even if quantum computers initially “merely” improve the simulations of quantum mechanical processes, they could, among other things, help to train AI systems more efficiently in the future. The first small quantum computers are already commercially available. But what potential do they actually have today?
Machine learning models are exposed to malicious external attacks that drastically falsify results and assessments - to the harm of people in safety-critical situations. Defense strategies already exist. But what happens when quantum computing comes into play? Together with partners, Fraunhofer IKS has taken a close look at the first approaches to averting danger.
Quantum Computing Comes Knocking on the Door of Business
The United Nations has declared 2025 to be the International Year of Quantum Science and Technology. This is to recall and celebrate the fact that 100 years have now elapsed since the beginnings of quantum mechanics. It is an occasion for a critical review and an optimistic preview of quantum computing technology, including from the point of view of business.
Formal Verification of Neural Networks with Quantum Computers
Neural networks are not robust. The development of reliable predictors requires systematic methods to both assess their quality and to gain confidence in their correctness. Quantum computing can help here.
„We wanted to open up a kind of window into our research engine room“
Fraunhofer IKS has introduced its Playground. This platform is especially designed for companies to explore the institute's offerings. In an interview, Institute Director Prof. Dr. Mario Trapp discusses the concept behind the Fraunhofer IKS Playground.
Artificial intelligence opens up new economic opportunities for companies. However, the integration of AI raises significant safety concerns in safety-critical systems. This results in a gap between economic potential and safety, the economic safety gap. But generative artificial intelligence (Generative AI, GenAI) can help close it.
Holistic safety for road vehicles is the focus of the annual Safetronic conference (November 12–13, 2025, in Leinfelden-Echterdingen). In a video discussion, Fraunhofer IKS Director Prof. Dr. Mario Trapp and Program comittee member Hans-Leo Ross, CARIAD, talk about the future of mobility.
The safety of a product, i.e., not causing harm, is a crucial property for its persistent success on the market and avoidance of legal risks for the manufacturer. However, since perfectsafety is typically not achievable, the question what defines acceptable safety and what defines acceptable risks, i.e., risk acceptance criteria (RAC), arises.
Without safety, new mobility solutions will fall to the wayside
Not only management consultancies, but also other strategic players see the increasing importance of Remote Driving Systems (RDS) for the transportation of the future. But is the concept safe enough? An extensive two-year operation without safety drivers has confirmed the technical feasibility and safety of RDS. And not only that: a comprehensive training framework for Remote Drivers has demonstrably improved performance and safety.
As farmers step up their use of information and communication technology, agriculture is not only becoming more efficient, but also more sustainable and resilient. A Fraunhofer IKS webinar explored some different solutions and strategies in the field of smart farming.
When we think about autonomous vehicles, we usually think of self-driving cars where people are mere passengers. In the business domain, however, their potential lies in logistics. New technologies could fundamentally change the transportation of goods, making it safer and more efficient. An overview of the current status of a variety of autonomous vehicles in industry.