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

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 ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...

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

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 ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

This research was published in Communications Chemistry.Unprecedented robustness of physics informed atomic energy models at ...

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...