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

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 ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster ...

Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...

Developing new materials can involve a dizzying amount of trial and error for different configurations and elements.

A new proposal suggests using existing semantic HTML to mark sections of a page that are AI generated for EU regulatory ...

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

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...