The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The multi-task model, trained on 80,000 patient records, predicts three key postoperative risks and validates consistently ...

A new study has unveiled one of the most accurate corporate credit risk forecasting models to date. This study is a result of collaboration among quantitative finance experts from data and AI leader ...

A deep learning model using brain scans and tests predicts alcohol use disorder risk in firefighters, enhancing mental health ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...

Scientists at the University of Glasgow have developed a machine learning model called PLM-Interact using a supercomputer to study protein interactions. This model predicts protein interactions with ...

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

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 ...