Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

but new research has revealed how this difference might affect AI's decision-making, leading to real-world ramifications ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Objectives This study aimed to employ machine learning algorithms to predict the ... Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree ...

Abstract: The K Nearest Neighbor (KNN) algorithm is going to be compared against the logistic regression method in an effort to determine whether one has the potential to provide a lower false ...

The non-feature-specific elevated responses may facilitate general processing of upcoming stimuli, whereas the feature-specific backward replay may underpin passive learning of visual ... a one-versus ...

The disease which affects the central nervous system cannot be ultimately diagnosed by a test. In this letter, we describe a detection algorithm able to classify subjects into Parkinson or normal ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...