Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

The UNLV Runnin' Rebels have a must-win game tonight on the road against the Fresno State Bulldogs. UNLV has dropped three games in a row, and are now looking t ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...

AI is searching particle colliders for the unexpected ...

Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...