There’s something almost invisible about the way modern entertainment works. You open a streaming app, glance at a homepage filled with titles you were “just thinking about,” or launch a game that ...

Results: Out of 8,452,630 total sleep logs collected over a median of 4.2 years of Fitbit monitoring, 401,777 (4.75%) nonprimary sleep logs identified by the default algorithm were reclassified as ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: Non-negative matrix factorization (NMF) is widely used for dimensionality reduction of large datasets and is an important feature extraction technique for source separation. However, NMF ...

For non-planar graphs, such solutions are computationally intractable," explained the researchers. The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

Introduction: The established paradigm of “awareness (i.e. diagnosis), treatment and control” as a central strategy to achieve blood pressure control is well accepted as the optimal approach to ...

What's the problem this feature will solve? We recently introduced the first optimization passes for the MLIR ecosystem we are building #892. Now this opens up a flood of options for implementing ...