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    Tom Runia

    Machine Learning at Apple

    Tom Runia is a highly accomplished Machine Learning Scientist currently working at Apple. He has a strong academic background, holding a Bachelor's Degree in Applied Physics and a Master's Degree in Computer Science (Cum Laude) from Delft University of Technology, as well as a PhD in Computer Science from the University of Amsterdam.

    Throughout his career, Runia has gained extensive experience in various roles:

    1. Machine Learning Scientist at Apple (current position)
    2. Research Intern at Amazon Web Services (AWS)
    3. PhD Researcher at the University of Amsterdam
    4. Research Intern at TomTom
    5. Software Engineer at Tam Tam
    6. Board Member at Vereniging voor Technische Physica
    7. Research Assistant at TU Delft

    Runia's research focuses on computer vision and machine learning. His most cited work is "Real-world repetition estimation by div, grad and curl," published in 2018.1 He has also contributed to studies on cloth simulation, repetition estimation, and weakly-supervised semantic segmentation.12

    In addition to his research, Runia has been granted patents for video processing techniques using spectral decomposition layers.12 His expertise spans various areas of machine learning and computer vision, making him a valuable asset in the field of artificial intelligence and its applications.

    Highlights

    Dec 10 · mkari.de
    Mo Kari
    Mo Kari

    Related Questions

    What specific projects has Tom Runia worked on at Apple?
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    What are some notable achievements of Tom Runia in the field of computer vision?
    How does Tom Runia's background in applied physics contribute to his work in machine learning?
    What leadership roles has Tom Runia held in academic or professional organizations?
    Tom Runia
    Tom Runia, photo 1
    Tom Runia, photo 2
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    Location

    Zurich, Zurich, Switzerland