I Stock 1367617035 B4 LLS

Artificial Intelligence
Do you trust your AI agent?

Gereon Weiss
Gereon Weiß
Artificial intelligence / Fraunhofer IKS
Artificial intelligence
I Stock 1488299226 bymuratdeniz

Multi-Agent Reinforcement Learning
When Intelligent Systems Must Cooperate Autonomously

Ginthoer3168
Nikolai Ginthör
Artificial intelligence / Fraunhofer IKS
Artificial intelligence
Safetronic key visual

Interview with Moritz Schneider
"Safety as a commitment to people”

Hans thomas hengl
Hans-Thomas Hengl
Safety engineering / Fraunhofer IKS
Safety engineering
Picture of ice

Quantum Computing
Ensuring trustworthiness of quantum AI

Jeanette Miriam Lorenz
Jeanette Miriam Lorenz
Quantum computing / Fraunhofer IKS
Quantum computing

Articles

Newest first

  • Safetronic key visual

    Safetronic 2026: Preview
    Securing Multi-Agent Tools with Proven Automotive Safety Patterns

    Generative Artificial Intelligence (GenAI) already drafts requirements, code, test cases and safety analyses in many engineering teams. Safety standards assume that the tools behind those work products are deterministic and reviewable. A GenAI tool is neither. At Safetronic 2026, my colleague Vito Magnanimo and I will show how safety design patterns we already trust in the vehicle can make multi-agent GenAI tools safe to use, without asking engineers to re-read everything the tool produces.
  • Woman with smartphone and coffee cup on a couch

    Medicine
    Better Data, Better Dialogue: Trustworthy AI for Women's Health

    Women spend around a quarter more of their lives in poor health than men, and for many conditions the path to a diagnosis still takes years. One reason is a data problem: women remain underrepresented in clinical evidence, and the symptom patterns that matter most are often the hardest to describe in a short appointment. With the SympATA app, Fraunhofer IKS is developing an AI-supported way to record symptoms over time and give conversations with a doctor a clearer, more reliable starting point.
    Artificial intelligence & Machine learning / Fraunhofer IKS
    AI in medicine
  • I Stock 1393512942 Bartlomiej Wroblewski

    Quantum Computing
    Modular Software Brings Quantum Computers into Industry

    Quantum computers alone cannot solve industrial problems. Only software that translates use cases into suitable algorithms and combines classical and quantum-assisted methods can turn the technology into a practical tool. With the QuaST Decision Tree, Fraunhofer IKS is now providing an open-source framework that helps bridging the gap: it helps users systematically prepare complex optimization problems and identify suitable hybrid solution approaches.
    Quantum computing / Fraunhofer IKS
    Quantum computing
  • Safetronic key visual

    Interview with Dr. Thomas Wiltschko
    »Safety Is Essential for the Acceptance of These Systems«

    Dr. Thomas Wiltschko, Manager for Safety of ADAS and AD at Mercedes-Benz AG, is a member of the Safetronic Program Committee, the international conference for the holistic safety of road vehicles. As an internationally recognized expert on ISO 26262 and ISO/TS 5083, he explains in the interview why the interplay of safety standards is essential for a holistic assessment and what opportunities the use of artificial intelligence opens up for the development of safe driver assistance systems.
    Safetronic
  • Picture of ice

    Quantum Computing
    Ensuring trustworthiness of quantum AI

    As machine learning is deployed in high-stakes , the urgency of increasing its trustworthiness is undeniable. Methods designed to enforce bounded outputs aim to keep model behavior within clearly defined limits, preventing deviations that could lead to severe consequences . A rapidly emerging field of quantum machine learning (QML) inherits these risks and expands both the attack surface and the potential consequences of failure, motivating further research in this area.
    Quantum computing / Fraunhofer IKS
    Quantum computing
  • I Stock 506520374 zorazhuang

    Industrial Automation
    Setting the Standard for AI-Generated Control Code

    AI is rewriting the rules of software development, but can it safely take the wheel in manufacturing? The partners of the MBO-KISS research project are on a three-year mission to find out. Launched in January 2025, the project is developing benchmarks for reliable, AI-generated control code in mechanical engineering. Halfway through their journey, the team shares an exclusive interim update.
    Artificial intelligence / Fraunhofer IKS
    Artificial intelligence
All articles Pfeil nach rechts

Topics

Authors

All authors Pfeil nach rechts