Researchers analyzed 11 million posts to find that while political bias varies by site, the preference for low-quality news ...

Apple researchers have developed an AI model that recovers detail from raw sensor data that would normally be lost. Here's ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

It’s Christmas 1981. You’ve got the Radio Times and you’ve been through it in advance to circle what you want to watch. Telly ...

Our study assessed the impact of using Control-IQ technology, an automated insulin delivery system, on achievement of a Healthcare Effectiveness Data and Information Set (HEDIS) quality measure ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Genome assembly algorithms are sets of well defined procedures for reconstructing DNA sequences from large numbers of shorter DNA sequence fragments. Fragments are aligned against one another and ...