Key Visual des Fraunhofer IKS Playground

Interview with Mario Trapp
„We wanted to open up a kind of window into our research engine room“

Hans thomas hengl
Hans-Thomas Hengl
Safety engineering / Fraunhofer IKS
Safety engineering
I Stock 1208411270 Thomas Stockhausen

Rail
Safe.trAIn: AI as train conductor on regional railways

Gereon Weiss
Gereon Weiß
Artificial intelligence / Fraunhofer IKS
Artificial intelligence
I Stock 1393513219 Bartlomiej Wroblewski

Award
Hybrid Quantum Algorithms: Do Classical Optimization Algorithms Perform Better with “Quantum Maps”?

Benedikt Poggel
Benedikt Poggel
Quantum computing / Fraunhofer IKS
Quantum computing
I Stock 2036497686 Jacob Wackerhausen

AI in medicine
Using AI for facial fracture detection

DSC01600
Agata Labiak
Artificial intelligence & Machine learning / Fraunhofer IKS
AI in medicine

Articles

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  • I Stock 1488299226 bymuratdeniz

    Multi-Agent Reinforcement Learning
    When Intelligent Systems Must Cooperate Autonomously

    In disaster zones and contested territories, the future of mission-critical operations relies on autonomous systems that don't just act, but cooperate. Through Multi-Agent Reinforcement Learning (MARL), researchers at Fraunhofer IKS are empowering autonomous systems to master complex coordination without direct human instruction. This shift from individual automation to intelligent teamwork allows complex systems to navigate demanding environments with unprecedented reliability.
    Artificial intelligence / Fraunhofer IKS
    Artificial intelligence
  • I Stock 2167341463 Claudio Caridi klein

    AI in Cardiology
    Cardiovascular Risk Prediction Through Intelligent ECG Analysis

    Cardiovascular diseases are among the leading causes of death worldwide. Early diagnosis is crucial for taking preventive action. However, risk factors often remain hidden until the first symptoms appear. Together with the University Heart Center Freiburg-Bad Krozingen, Fraunhofer IKS is working on the »AI Cardiology« project to develop a solution that closes the gap between patients´ daily lives and clinical care to strengthen cardiovascular prevention.
    Artificial intelligence & Machine learning / Fraunhofer IKS
    AI in medicine
  • I Stock 91552116 yekorzh

    Quantum Computers
    The Quantum Zoo: Playing Your Way Into Quantum Computing

    Quantum computing often sounds like science fiction: particles in two places at once, strange correlations across space, and computers that could one day crack problems beyond any classical supercomputer. But between the headlines and the heavy mathematics, it can be hard to grasp what is happening during a quantum computing operation. The Quantum Zoo project at Fraunhofer IKS provides insight: hands-on quantum computing — not just for students.
    Quantum computing / Fraunhofer IKS
    Quantum computing
  • Metal Processing

    The future of production
    On the way to Industry 5.0?

    Industrial production is undergoing profound change. With rapidly advancing technologies and a changing social environment, industrial automation needs to be rethought in order to respond more flexibly to new requirements and challenges—keyword: adaptive production.
    Industry 4.0 / Fraunhofer IKS
    Industry 4.0
  • I Stock 1320950366 alvarez

    Safe Intelligence Day 2026
    How AI and Safety Balance Each Other in Automation

    On February 5, 2026, the next Safe Intelligence Day will take place at Fraunhofer IKS. The focus of the showcases, presentations, and discussions will be generative AI in automation. Three aspects play an essential role: generative AI in the safety engineering process, as a basis for troubleshooting assistance in production, and applied to code generation in manufacturing.
  • I Stock 1205564620 peterschreiber media klein

    Quantum Computing
    Are quantum solutions realistic in production?

    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?
    Quantum computing / Fraunhofer IKS
    Quantum computing
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