Alexander Hinterleitner, doctoral candidate at the Institute for Data Science, Engineering, and Analytics (IDE+A) of the THK-AI Research Cluster at … Mehr
Kategorie: TH Köln
Impressions from the 35th Workshop Computational Intelligence in Berlin 2025
Alexander Hinterleitner, a doctoral candidate at the institute, presented the paper „Tuning for Explainability: Incorporating XAI Consistency into Multi-Objective Hyperparameter Optimization“. … Mehr
Research Cluster THK-AI Contributions at the 35th Workshop Computational Intelligence
The Institute for Data Science, Engineering, and Analytics (IDE+A), which is part of the THK-AI Research Cluster at TH Köln … Mehr
PhD Student from THK-AI Research Cluster at TH Köln Publishes Paper at Prestigious AI Conference NeurIPS 2025
Jens Brandt, PhD student at the THK-AI Research Cluster (https://thk-ai.de) at Technische Hochschule Köln, has published a research paper that … Mehr
THK-AI Research Cluster featured in CAIRNE October 2025 Newsletter
The THK-AI Research Cluster at TH Köln is featured in the CAIRNE October 2025 Newsletter. Recognized by the TH Köln … Mehr
Erfolgreiches 7. Konsortialtreffen IMProvT II
Das 7. Konsortialtreffen des Forschungsprojektes IMProvT II fand am 18. September an der HTWG Konstanz statt.
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.
Neue Stellenangebote an der TH Köln
Beschäftigte in Technik und Verwaltung: Koordinator*in für Digitalen Wissenstransfer und IT-Entwicklung. unbefristet | Teilzeit mit 90% | EG 11 | … Mehr