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A team has developed FlowSense, which lets those who may not be experts in machine learning create highly flexible visualizations from almost any data.

Depending on whether the goal is to image finer features or rapid movement, this gives a range of options before the data is fed into the computational 3D reconstruction and stitching algorithm.

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After processing, we used the prototype visualization interface, written in Java, to find topics and tag documents in bulk according to their subject.

The goal of the collaboration is to develop advanced algorithms that yield more efficient and user-friendly visual representations of application structures.