Dr. Daniel Kirste presented our latest research on cryptoeconomic systems for machine learning resource provisioning at the TUM Blockchain Conference in Munich, Germany.
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The ii research group has four articles accepted for publication at the HICSS-59, which will take place at the Hyatt Regency in Maui from January 6-9, 2026.
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Sebastian Clemens Bartsch, Long Hoang Nguyen, Jan-Hendrik Schmidt, Guangyu Du, Martin Adam, Alexander Benlian & Ali Sunyaev published a new article titled “The Present and Future of Accountability for AI Systems: A Bibliometric Analysis” in the journal Information Systems Frontiers.
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Continuing their collaborative work, the partners of the BMFTR-funded research project GameUp convened at TUM Campus Heilbronn this week for their consortium meeting 2025. Since its launch last year, the project has made significant progress, and this meeting served as a crucial checkpoint to…
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Eva Späthe presented our new workshop paper about generative AI in heterogeneous educational settings at the MuC conference on human-computer interaction in Chemnitz, Germany.
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We are pleased to announce the publication of our latest research article, Reward Systems for Trustworthy Medical Federated Learning, in which we address one of the central challenges in healthcare-related machine learning: ensuring fairness and trustworthiness in federated learning (FL).
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Six runners from the ii research group at TUM Campus Heilbronn joined over 7,000 participants at the Stimme Firmenlauf, showcasing team spirit, energy, and enthusiasm for a great cause.
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This year the ii research group was in Bad Herrenalb for the annual doctoral seminar. For the three-day retreat doctoral students worked together on their current research ideas at the Haus der Kirche Evangelische Akademie Baden, Bad Herrenalb, from July 23rd through July 25th. The theme of this…
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ii group members joined the IDT seminar finale at SAP, featuring campus insights, networking, and impressive student presentations tackling real-world challenges from industry partners like SAP, Daimler Trucks, HCLTech, and more. A great example of successful collaboration between TUM and SAP!
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