MCML
The MCML is a top place for AI and ML research in Europe. We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.
MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.
He states: 'If we want to use language models for applications in and from Europe, we need European language models that master the local languages, take into account the needs of our companies and the ethical requirements of our society'.
Human augmentation technologies refer to technological aids that enhance human abilities. They include things like exoskeletons, but also augmented reality headsets. A study at the Chair of Human-Centered Ubiquitous Media at LMU has now shown that users have high expectations of the effects of these technologies.
Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also a Professor at Imperial College London. His field of research is the area of Artificial Intelligence and Machine Learning and their application to medicine and healthcare.
HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.
Lecture Series
Module 3: Culture Business and Creative Industries
Yannick Hofmann
intelligent.museum
Lecture Series
Module 3: Culture Business and Creative Industries
Stephan Schneider
Technische Hochschule OWL, Fachhochschule ABWL Kiel
Are you interested in working with us, either as a researcher or in form of an industry or research cooperation? Do you see valuable use-cases for Machine Learning in your company? Are you a journalist reporting on the future of Machine Learning and Artificial Intelligence? In case you are a student interested in working with us, please contact the relevant PI directly. We look forward to hear from you.
Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München
Germany
Technische Universität München
Arcisstraße 21
80333 München
Germany