Polyglot machines - How artificial intelligence learns the rich variety of human languages

Insights from our PI Hinrich Schütze in LMU research magazine Einsichten

In this article our PI Hinrich Schütze shares insights into the challenges of automatic translation using AI technology.

The focus lies on the difficulty of training AI models to handle various languages, especially those with limited training data. Professor Schütze also emphasizes current issues such as bias and hallucinations in AI, working on integrating a "Working Memory" to enhance factual accuracy in responses and enable more effective use of AI in language processing.

«In our field, we’re living in fascinating times. Suddenly, intelligences have developed that nobody can really explain.»
(H. Schütze)

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Link to Several MCML PIs receive BMBF funding

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Several MCML PIs receive BMBF funding

LMU Munich, in collaboration with MCML and Prof. Stefan Feuerriegel, is launching projects to advance robotics and AI capabilities.

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Exploring the Impact of AI in Medicine

MCML Junior Member Anna Reithmeir’s doctoral research at TUM focuses on aligning multi-temporal or multimodal images to track anatomical changes like tumor growth.