Machine Learning in Engineering

The Machine Learning in Engineering (MLE) initiative integrates competencies and activities in the field of machine learning at Hamburg University of Technology (TUHH) and partner organizations from the Hamburg metropolitan area. Students, doctoral candidates, postdocs, researchers, and professors from all departments at the TUHH and from the partners are working interdisciplinary together within this initiative. The aim is to conduct fundamental research particularly relevant for the development of new technology, thereby contributing to the digital transformation of the engineering sciences. In addition to basic research, the initiative aims at transferring knowledge to business and industry. Among a number of instruments for this kind of transfer, the annually organised MLE days provide a natural opportunity for education and knowledge exchange.

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Latest News

14.11.24
Junior Science Café on the topic "Opportunities and Risks of Artificial Intelligence"
15.07.24
Sensor Fusion for the Robust Detection of Facial Regions of Neonates Using Neural Networks
08.07.24
A Simple Model for Collaborative Policies in Reinforcement Learning
01.07.24
Generalizability of LLMs and Feature-based Active Learning