Invited Key Note at First ELLIS NLP Workshop

Hinrich Schütze on 'Humans Learn From Task Descriptions. and So Should Our Models!'

This workshop will have the purpose to share insights, discuss emerging topics and a strategic roadmap for the field under the title ‘Open Challenges and Future Directions of NLP’.

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24.02.2026

Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks

Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.

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MCML Stammtisch - Recap

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COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.

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Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

Invited Key Note at First ELLIS NLP Workshop

Hinrich Schütze on 'Humans Learn From Task Descriptions. and So Should Our Models!'

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