This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Whether this investment translates into improved AI products remains dependent on Meta’s ability to integrate Scale AI’s ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

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

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Abstract: This paper concerns structured regression ... algorithms to correct the covariate shift. The results highlight the improved computational efficiency and sparsity achieved while learning the ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

New ML-based method predicts lithium salt performance, accelerating the development of safer, high-efficiency lithium metal ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...