14.01.2024

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

Polyglot Machines - How Artificial Intelligence Learns the Rich Variety of Human Languages

Insights From 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)

#research #schuetze

Related

Link to Benedikt Wiestler: We Want to Build a Time Machine

31.07.2026

Benedikt Wiestler: We Want to Build a Time Machine

MCML PI Benedikt Wiestler explains how AI models help to develop specific strategies in clinical therapy for brain tumor patients.

Read more
Link to Gaps in the Benchmark: Why Medical AI Fails in the Real World

28.07.2026

Gaps in the Benchmark: Why Medical AI Fails in the Real World

MCML researchers show in Nature Health how dynamic red teaming exposes hidden weaknesses in Medical AI beyond static benchmarks.

Read more
Link to Barbara Plank Becomes President of the Association for Computational Linguistics

26.07.2026

Barbara Plank Becomes President of the Association for Computational Linguistics

MCML PI Barbara Plank becomes President of the Association for Computational Linguistics, the world's leading NLP organization.

Read more
Link to Konstantin Riedl Receives 2026 SIAM Student Paper Prize

25.07.2026

Konstantin Riedl Receives 2026 SIAM Student Paper Prize

Former MCML Junior Member Konstantin Riedl receives the 2026 SIAM Student Paper Prize for research on nonconvex optimization.

Read more
Link to MCML Welcomes Student Delegation from HEC Montréal

22.07.2026

MCML Welcomes Student Delegation From HEC Montréal

MCML welcomed students from HEC Montréal for discussions on AI research, ethics, and international academic collaboration.

Read more
Back to Top