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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13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

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MCML at ICDM 2025

MCML researchers are represented with 2 papers at ICDM 2025.

06.11.2025

Industry Pitch Talks Recap

Industry Pitchtalks on 4 Nov 2025 connected MCML and SWM to explore AI applications in energy and utilities.

06.11.2025

AI, Ethics and Society Workshop

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03.11.2025

Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung

Julian Rodemann worked with Harvard on interpretable algorithms for “Back Exosuits,” improving human–machine interaction.

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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