Abstract: Approximate string matching algorithms, which permit mismatched characters, are extensively employed in software featuring search tools, database management systems, and various applications ...

Artificial intelligence was supposed to make markets leaner and more efficient. Instead, new research suggests that when left ...

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 ...

Welcome to Literary Quotable Quotes, a quiz that tests your recognition of memorable lines. This week’s installment highlights first lines from notable novels of the 1980s. In the five multiple-choice ...

While the transformer architecture has demonstrated strong success in natural language processing and computer vision, its application to limit order book forecasting, particularly in capturing ...

Cities around the world prepare for New Year's Eve ...

JPMorgan flagged new leadership under CEO Spencer Rascoff and a pivot toward user-centric innovation over short-term monetization. Key to this is AI — from boosting matches via smarter algorithms to ...

A high-performance, thread-safe limit order book implementation written in Rust. This project provides a comprehensive order matching engine designed for low-latency trading systems, with a focus on ...

Words like "rizz" and "skibidi" didn’t exist just a few years ago, but now they’re used and understood by millions of people. In his new book, Algospeak, linguist and content creator Adam Aleksic ...

Nearly all practicing physicians in the U.S. obtained their post-graduate training positions through "the match." Prior to the 1950s, internship and residency matching were done by ad hoc individual ...