06.03.2024
©greenbutterfly - stock.adobe.com
Daniel Rückert on How Datasecurity in AI in Medicine Can Be Realized
TUM Magazine “Faszination Forschung”
The current issue of the TUM magazine "Faszination Forschung" takes a closer look at the work of our Director Daniel Rückert.
With his team, he strives to train medical AI in a way that ensures both patient data privacy and the impartiality of the AI in diagnosis. To achieve this, he employs "Differential Privacy", a method that adds a kind of statistical noise to the data.
«The requirements for AI systems are high. They should handle patients' personal data carefully and not store any identifiable information.»
Daniel Rückert
MCML Director
Related
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.
04.02.2026
Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”
Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.
©Florian Generotzky / LMU
30.01.2026
Cracks in the Foundations of Cosmology
Daniel Grün examines cosmological tensions that challenge the Standard Model and may point toward new physics.
