A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.

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

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 ...

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, ...

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

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 ...

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

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...