Abstract: Order-preserving pattern matching (OPPM) is a specialized area within the domain of pattern recognition and string matching. This specialized area is dedicated to identifying patterns in ...

Babies learn languages across cultures, under wildly different circumstances. Some children are spoken to in high-pitched, sing-song voices tailored just for them, while others grow up hearing adults ...

Meet your artificial intelligence matchmakers. These A.I. tools are changing dating apps, so users don’t have to swipe through an endless scroll of profiles. Meet your artificial intelligence ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

Algorithms, which are just sets of instructions expressed in code, are harder to restrict than physical goods. But governments, including the U.S., have long tried to prevent their export. The ...

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 ...

Abstract: As semiconductor manufacturing advances into ultra-scaled technology nodes, Static Random Access Memory (SRAM) verification faces critical challenges stemming from increasingly stringent ...

The police surveillance company Flock has built an enormous nationwide license plate tracking system, which streams records of Americans’ comings and goings into a private national database that it ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Finding your ideal partner online has transformed, with MILF dating sites emerging as a significant part of the modern dating life. These platforms connect younger men with mature women, or MILFs, for ...

Many people fear that if fully sentient machine intelligence ever comes to exist, it will take over the world. The real threat, though, is the risk of tech companies enslaving robots to drive up ...