Soil acidification is one of the pressing issues confronting global farmland today. Studies indicate that approximately 40% ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...

A new global review shows that while machine learning, connected medical devices, and blockchain systems are individually ...

Redis, the world’s fastest data platform, today announced Redis Feature Form, a managed feature store platform built to help enterprise ML teams bring features into production with more control, ...

Abstract: In distributed machine learning scenarios, the difference in data distribution among different nodes is a key issue that cannot be ignored. However, existing methods make it difficult to ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...