A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

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 ...

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