Today, the case study/guided project „Sensing the Drift – Tackling Imbalanced Data for Reliable Virtual Sideslip-Angle Estimation“, which is organized … Mehr
Monat: Oktober 2025
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.
Ausschreibung für eine Masterarbeit/ ein Praktikum
Prof. Dr. Pascal Cerfontaine bietet derzeit in Kooperation mit ASML eine Abschlussarbeit zum Thema „LLM-assisted cost function design for semiconductor … Mehr