Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Inspired by an artist's stencils, researchers have developed atomic-level precision patterning on nanoparticle surfaces, ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is ...

Abstract: This letter proposes an efficient iterative method assisted by an artificial neural network (ANN) for pattern synthesis of arbitrary conformal arrays. Relying on a fast and accurate ...

Implement and demonstrate three fundamental string pattern matching algorithms — Rabin-Karp, Knuth-Morris-Pratt (KMP), and Z-Algorithm — widely used in text searching and interview questions. I would ...

Daniel Nadler started OpenEvidence to help physicians sort through a deluge of medical research. Now, he’s raised $210 million at a $3.5 billion valuation. For doctors trying to stay abreast of the ...

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 ...

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, ...

Technology continues to reshape traditional classroom experiences in unprecedented ways. Among these technological innovations, artificial intelligence stands out as a particularly transformative ...