Artificial intelligence continues to redefine the frontiers of scientific discovery, transforming how we understand complex systems, analyze data, and design experiments. With every breakthrough, AI opens new doors for innovation and accelerates research across disciplines at an unprecedented pace.
The Helmholtz AI Conference 2026: AI for Science invites you to explore and advance this transformative journey. Now in its sixth year, the conference will once again bring together leading AI researchers, consultants, and industry representatives to exchange ideas, share groundbreaking research, and foster new collaborations across sciences.
Join us from 8 – 11 June 2026 in Munich to discover how AI is shaping the future of science and society. Together, we continue to push the boundaries of what’s possible.
WHY HAICON?
CONNECT WITH LEADING EXPERTS
DISCOVER THE LATEST AI SOLUTIONS
PRESENT YOUR RESEARCH
ENGAGE IN INTERACTIVE WORKSHOPS AND SESSIONS
WHY HAICON?
CONNECT WITH LEADING EXPERTS
DISCOVER THE LATEST AI SOLUTIONS
PRESENT YOUR RESEARCH
ENGAGE IN INTERACTIVE WORKSHOPS AND SESSIONS
KEYNOTE SPEAKERS
Daniel Ruckert
“AI and Future of Medicine“
Keynote date: 10 June, 2026
Affiliation: Technical University of Munich
Daniel Rückert is Alexander von Humboldt Professor for Artificial Intelligence in Medicine and Healthcare at the Technical University of Munich and a Professor at Imperial College London. His research focuses on artificial intelligence and machine learning for medicine, with particular emphasis on developing innovative algorithms for biomedical image acquisition, analysis, and interpretation, as well as extracting clinically relevant information for computer-assisted diagnosis and prognosis. Rückert has made seminal contributions to image reconstruction, registration, segmentation, tracking, and modeling, and is internationally recognized for advancing AI applications in healthcare. He has received numerous honors, including the Gottfried Wilhelm Leibniz Prize (2025), Fellowship of the Royal Society (2025), the MICCAI Enduring Impact Award (2024), and the Alexander von Humboldt Professorship (2020).
© Andreas Heddergott / TUM
Cordelia Schmid
“Multimodal video understanding & vision-language guided robotics“
Keynote date: 11 June, 2026
Affiliation: Inria, Google
Cordelia Schmid is a Research Director at Inria, France. Her research focuses on computer vision, machine learning and robotics. She is internationally recognized for pioneering contributions to visual recognition and representation learning. Schmid has received numerous honors, including the Inria-Académie des Sciences Grand Prix and multiple Longuet-Higgins Prizes. She is a member of the German National Academy of Sciences (Leopoldina) and continues to shape the field’s advancement in visual intelligence.
PROGRAM HIGHLIGHTS
Three inspiring keynote talks, focused themed sessions, two poster sessions, a whole day dedicated to hands-on workshops and tutorials, and interactive networking events are just the beginning.
Explore our preliminary program and stay tuned as we unveil the exciting topics that will shape this year’s Helmholtz AI Conference!
PROGRAM HIGHLIGHTS
Three inspiring keynote talks, focused themed sessions, two poster sessions, a whole day dedicated to hands-on workshops and tutorials, and interactive networking events are just the beginning.
Explore our preliminary program and stay tuned as we unveil the exciting topics that will shape this year’s Helmholtz AI Conference!
MEDIA LIBRARY
All recordings of our 2025 conference are available on YouTube here. Keynote speakers’ presentations remain accessible within the conference program page.
