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 ...

A Python-based module for detecting historical matches in time-series of stock market data. Price-series match-seeking algorithm is designed to identify similar data patterns within historical ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

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

Abstract: As chip manufacturing approaches physical limits, the probability of defects due to specific chip layout structures has significantly increased. These defect-prone structures are known as ...

CORNELL, N.Y. (WSYR-TV) — A student-developed website on the Cornell Campus has thousands of students flocking to Perfect Match in 2025 in hopes of finding love in time for Valentine’s Day. According ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

The U.S. Federal Bureau of Investigation’s (FBI) Criminal Justice Information Services (CJIS) in Clarksburg, West Virginia issued a Request for Information (RFI) pertaining to market research it is ...

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data is critical in monitoring disease progression, ...