A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEIL™ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...

Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if artificial intelligence could make them faster, smarter and more accurate? New ...

Can AI predict your personality? New research shows machine learning can deliver DISC assessments 4x faster and with 93% accuracy. Learn how data science is identifying "hybrid" personality types and ...