A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

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 ...

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

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

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, ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

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