Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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

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

The UNLV Runnin' Rebels could knock off the Fresno State Bulldogs tonight, but it won't be easy.

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 ...

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 ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

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

AI is searching particle colliders for the unexpected ...

Quick Summary ChatGPT thinks Cloudlfare stock could trade lower over the next 60 days, projecting an average price around $168 by mid-April. Investors looking to trade the stock can build exposure ...

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