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, ...

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If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

For decades, the quantum threat to RSA and ECC encryption has been tied to Shor’s algorithm and the assumption that we would need million-qubit quantum computers to make it practical. A newly ...

Abstract: Constrained Path-based Testing (CPT) is a technique that extends traditional path-based testing by adding constraints on the order or presence of specific sequences of actions in the tests ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to add, starting with ...

Part of resolving the political redistricting stalemate, writes Professor Jamie Tucker-Foltz, is creating congressional maps that align with human intuition about fairness. He explains how an ...

JavaProb is a comprehensive repository dedicated to solving a wide range of tricky and concept-rich Java problems. Whether you're preparing for technical interviews, enhancing your problem-solving ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...