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Displaying 1 - 14 of 14 news articles related to this topic.
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Thomas Heldt (left) with Massachusetts General Hospital collaborator Michael Filbin.

Big, intensive data

Assistant Professor Thomas Heldt mines critical care data to support real-time clinical decision making and improve patient care.

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Collective memory

An MIT project provides a way to preserve information in constantly changing networks, without resorting to a shared server.

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Explaining the relationships between observable data (blue dots) can involve complicated mathematics that correlates each data point with each of the others (blue lines). But a “hidden variable” that describes general properties of all the data points (green dot) can make the mathematics much simpler (green lines).

More is less

Complex computer models can involve thousands of variables. But paradoxically, adding more variables can sometimes make them easier to work with.

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