Gruppenfoto der Studierenden und Betreuer des 2. CDS-Hackathon im SeminarraumAchim Grindler (SCC)
2nd Computational & Data Science Hackathon 

At the second CDS Hackathon, about 40 students worked on innovative projects and applied their knowledge of data-driven modeling to real-world problems in research and industry.

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Logo des RSE@KIT-Workshops
The Third RSE@KIT Workshop Was a Success

On Oct. 20th the third iteration of the RSE@KIT workshop took place. Nearly 40 research software engineering (RSE) enthusiasts got together for an afternoon of thoughtful presentations and engaging discussions.

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Forma Metis startet als Helmholtz-Enterprise-Projekt am SCCAmelie Wenninger, Helmholtz
Forma Metis starts as a Helmholtz Enterprise Project at SCC

Spin-off project started at SCC: Forma Metis develops machine-learning software whose models are compact formulas that experts can read and check.

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Über die Golden Spike Awards 2026 freuen sich (v.l.n.r.): Andrey Kotov, Adrian Kummerländer und Marie Weiel. (Foto: Chris Williams, HLRS)Chris Williams, HLRS
HLRS Golden Spike Award 2026 for SCC Researcher Marie Weiel

Marie Weiel, a Helmholtz AI Consultant at SCC, received the HLRS Golden Spike Award. The award-winning research on scalable AI methods was conducted in collaboration with Katharina Flügel, who carried out the essential practical work.

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Quantum Machine Learning: SCC-Wissenschaftler Melvin Strobl erhält Best Paper Award
Quantum Machine Learning: SCC Researcher Melvin Strobl Wins Best Paper Award

Third Place in the Best Paper Award at IEEE Quantum Week 2026: Researchers from KIT and OTH Regensburg demonstrate how the physical control of quantum computers can be leveraged to improve the trainability of machine learning models.

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Collage mit Gruppenfoto mit sitzenden und stehenden Schülerinnen und Schülern vor dem Schloss Karlsruhe  und Fotos der Arbeitsgruppen im Labor und Hörsaal.
Real-World Research Instead of Everyday School Life: The MINT-EC Modeling Week at SCC

For one week, 20 students from Germany and Turkey participating in the CAMMP project developed mathematical models for real-world problems in research and industry, including heart simulations, energy grids, chemical plants, and logistics.

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