Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Abstract: In this paper, we consider a new normalization of matrices obtained by choosing distinct codewords at random from linear codes over finite fields and find that under some natural algebraic ...

For 27 minutes, Tina Hines was clinically dead. While preparing for a hike with her husband Brian, she experienced a severe cardiac arrest which stopped her heart. In a desperate bid to save her, ...

Abstract: This paper uses an incremental matrix expansion approach to derive asymptotic eigenvalue distributions (a.e.d.s) of sums and products of large random matrices. We show that the result can be ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

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This summer, the city unveiled “NYC Solves,” a new public-school math curriculum aimed at improving math scores by helping kids overcome their supposed “fear of math” — which already had us doubting ...