1520 search results for „*“

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    • Marcus Rohrbach

      In most artificial intelligence (AI) applications, models learn from data that derives from a single information source. Additional data sources or so-called modalities can make AI models better and more reliable. An expert in multimodal learning, Marcus Rohrbach is set to become a Humboldt Professor for Artificial Intelligence in Darmstadt.

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      Marcus Rohrbach
    • Hector Geffner

      Hector Geffner is seen as one of the leading minds on the global AI stage and a pioneer of automated planning. In Aachen, he is invited to enhance Germany’s visibility as an AI hub and help to further Europe’s vanguard position in developing trustworthy, human-centred AI.

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      Hector Geffner
    • Dieter Schmalstieg

      What would a red sofa look like in my sitting room? Augmented reality applications can visualise the answers to questions like this. Dieter Schmalstieg is set to continue his application-related research into virtual and augmented reality (VR/AR) as a future Humboldt Professor at the University of Stuttgart.

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      Dieter Schmalstieg
    • Miki Ebisuya

      Why is the biological development of the human slower than that of the mouse? Japanese researcher Miki Ebisuya, who is invited to become a Humboldt Professor at TU Dresden, works on the biophysical mechanisms behind this question. In the long term, it is hoped her fundamental research will generate knowledge for the development of new regenerative therapies.

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      Miki Ebisuya