The Dagstuhl research meeting „Better Benchmarking Setups for Optimisation: Design, Curation and Long-Term Evolution“ concluded successfully, fostering productive exchanges and … Mehr
Monat: Oktober 2025
Invitation to the Dagstuhl research meeting „Better Benchmarking Setups for Optimisation“
Prof. Dr. Thomas Bartz-Beielstein is very pleased to be invited to the Dagstuhl research meeting „Better Benchmarking Setups for Optimisation: … Mehr
Erfolgreiches 7. Konsortialtreffen IMProvT II
Das 7. Konsortialtreffen des Forschungsprojektes IMProvT II fand am 18. September an der HTWG Konstanz statt.
Dringende Wartungsarbeiten an KI-Rechencluster Leverkusen am 27.10.2025
Am 27.10.2025 muss in Leverkusen am KI-Rechencluster Wartungsarbeiten durchgeführt werden, damit dieser endlich vollumfänglich genutzt werden kann (auch die Conda … Mehr
Call for Papers: 2026 Genetic and Evolutionary Computation Conference (GECCO 2026)
The Genetic and Evolutionary Computation Conference (GECCO 2026) will be held in San José, Costa Rica, from July 13 to July 17 2023, and will present the latest high-quality results in genetic and evolutionary computation, in a hybrid format. Abstract Deadline: January 19, 2026
THK-AI – LIACS Research Visit Highlights Strategic AI Collaboration
From 13 to 15 October 2025, Prof. Dr. Thomas Bartz-Beielstein, Director of the THK-AI Research Cluster and the Institute IDE+A … Mehr
THK-AI Joins CAIRNE as Gold Member
We are proud to announce that the THK-AI Research Cluster (TH Köln) has officially joined the CAIRNE Research Network as … Mehr
TH Köln stärkt KI-Forschung mit dem „THK-AI Forschungscluster“
Der THK-AI Forschungscluster wurde als zentrale Drehscheibe für interdisziplinäre Projekte im Bereich der Künstlichen Intelligenz gegründet. Er wird von Prof. Dr. Bartz-Beielstein und Prof. Dr. Richert geleitet und vernetzt Forschende, Studierende sowie Industriepartner.
Sensing the Drift – Case Study and Guided Project Started Today
Today, the case study/guided project „Sensing the Drift – Tackling Imbalanced Data for Reliable Virtual Sideslip-Angle Estimation“, which is organized … Mehr
Groundbreaking Research on Robust AI in Autonomous Systems Accepted at NeurIPS 2025
A collaborative research paper by scientists from THK-AI Research Cluster, Toyota Research Institute, and Toyota Gazoo Racing Europe has been accepted at the prestigious NeurIPS 2025 conference. The paper, titled „From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures,“ introduces a novel pretraining approach to enhance the reliability of AI models in safety-critical applications like autonomous driving.