Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion ...

Abstract: Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication. As an ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

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Question, Delete, Simplify, Accelerate and Automate—focuses on challenging assumptions, removing unnecessary processes and improving efficiency across engineering and manufacturing operations.

Overview:  Explains algorithms in simple language with everyday examples anyone can understand.Covers major algorithm types, ...

Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...