Invasive pulmonary aspergillosis, a devastating fungal infection once considered almost exclusively a threat to patients with ...

By simulating human visual processing with a deep neural network, researchers have discovered a computational marker that predicts an adolescent's risk for developing depression up to four years ...

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine learning. His project reached 89% accuracy in predicting potential lithium ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...

A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.

Researchers combined ballistic experiments, finite element modeling, and a neural network to predict how PEEK plates fail ...

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Google is one of the major players in AI (meaning machine learning) weather forecast model space. The models it and others generate have their strengths and weaknesses, but the main advantage is that ...

A machine learning model utilizing longitudinal electronic diary data can accurately forecast the likelihood of next-day migraine attacks.