About Data Visualisation
Data visualization plays an important role in data exploration – both to enable deep insight in that data, and to generate new hypotheses. These visualizations can be aimed at a multitude of endpoints, ranging from (small or large) 2D displays, to autostereoscopic displays, light field displays and – as the holy grail – holographic representations, and can be static or allow for rich user interaction (brushing, filtering, etc).
With increasing size and complexity of datasets, the challenge of computational and perceptual scalability needs to be addressed, both for static representations and for interactive ones. Imec research groups at UAntwerpen, KU Leuven and VUB alleviate this issue by distributed storage and computing as well as compression and visualization of the multimodal source data.
Hoe kunnen we u helpen?
Some examples of what we have done
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Scientific Director AI
Developing a scientific roadmap AI for Intuitive Spaces
Director Artificial Intelligence Flanders Program
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Introduction of EDS analysis into TEM automation.
Bringing chemical analysis into the CMOS industry for high throughput and precision by automated electron microscopy.
Data analysis on in-vitro neuronal network electrophysiology
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