The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Collaboration feels like a human challenge but behaves like a system. Systems thinking resolves this paradox by revealing how ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...