A fully automated bot quietly captured micro-arbitrage opportunities on short-term crypto prediction markets, netting nearly ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

As the Phillies pitchers and catchers report for spring training on Feb. 10, with the first full-squad workout six days later, it's relatively easy to see a veteran roster take shape. Bryce Harper, ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Vehicle location prediction and the use of vehicle location tracking are increasingly important topics of discussion among connected vehicle researchers. Location tracking for mobile users ...

ABSTRACT: This qualitative study examines the role of Village Savings and Loan Associations (VSLA) in reducing female genital mutilation (FGM) in two regions of Côte d’Ivoire. Through interviews and ...