16.12.2025

Teaser image to Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Advancing Language Models With Memory-Efficient and Context-Aware AI

Our PI Hinrich Schütze commented on the Swiss start-up Giotto.ai’s breakthrough in language models, featured in WirtschaftsWoche. Giotto.ai challenges the prevailing trend of ever-larger AI models by developing a highly efficient 200-million-parameter system that leverages external memory and context-aware decoding to reduce errors and hallucinations. Schütze highlights that separating memory from the model addresses fundamental inefficiencies in current AI systems, making them more robust and capable.

#media #research #schuetze

Related

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 MCML Researchers at ECCV 2026 Workshop on Geometric Intelligence

24.07.2026

MCML Researchers at ECCV 2026 Workshop on Geometric Intelligence

MCML researchers co-organize an ECCV 2026 workshop exploring how geometry can drive the next generation of AI and scientific discovery.

Read more
Link to Sven Nyholm Explores the Ethics of Living with Robots

22.07.2026

Sven Nyholm Explores the Ethics of Living With Robots

Sven Nyholm joins the podcast Art of the Question to discuss robot ethics, autonomous systems, and the future of human–robot interaction.

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
Link to Timo Heiß Receives Best Student Paper Award at XAI 2026

21.07.2026

Timo Heiß Receives Best Student Paper Award at XAI 2026

Timo Heiß receives the Best Student Paper Award at XAI 2026 for research on improving feature effect estimation in explainable AI.

Read more
Back to Top