A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

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

The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...

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

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 ...

Transform ordinary photos into convincing miniature model scenes with this selective focusing technique—commonly known as tilt-shift. By blurring parts of your image and boosting color saturation, you ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...