Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods as well as transformer-based neural networks. For example, large language models (LLMs
The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In particu
Within the MikroBeM project we investigate the impact of real micro- and hypergravity on fine motor and cognitive learning states, workload conditions, and movement kinematics, analyzing biological si
The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a
Das Projekt Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning (MAC-MERLin) zielt darauf ab, durch die Nutzung von Multi-Level-Abstraktionen in Kombination mit kausaler M
Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m
Das Geschäftsprozessmanagement (GPM) ist ein maßgeblicher Faktor, um Digitalisierungsstrategien erfolgreich umzusetzen. Vielen KMUs fehlt es allerdings an Kompetenzen sowie finanziellen Mitteln, um en
Robotics Institute Germany, national joint project of robotics research in Germany, coordinated by TU Munich The Robotics Institute Germany is an initiative by the Federal Ministry of Education and Re
AI is transforming society and the world of work; it is becoming an increasingly important topic in education. This project explores the opportunities, conditions, and limitations of using artificial