Abstract: Tensor contractions extend the concept of the General Matrix Multiplication (GEMM) to high-dimensional spaces. They enable sophisticated computations in various scientific disciplines.

Current object detection algorithms lack accuracy in detecting citrus maturity color, and feature extraction needs improvement. In automated harvesting, accurate maturity detection reduces waste ...

Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...

Developing faster algorithms is an important but elusive goal for data scientists. The ability to accelerate complex computing tasks and reduce latency has far-reaching ramifications in areas such as ...

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Hierarchical temporal memory (HTM) provides a theoretical framework that models several key computational principles of the neocortex. In this paper, we analyze an important component of HTM, the HTM ...

Our research in the field of AI for science uncovered a mathematical structure that relates disparate mathematical constants through continued fraction formulas and offers an approach to proving their ...

As mathematics educators at all levels consider effective implementation and instruction related to state or Common Core standards, a frequently asked question is, “What does it mean to be fluent in ...