16.12.2025
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.
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29.10.2026
Teaching Language Models to Express Uncertainty
An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
