Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

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

The findings suggest that advanced AI models, when designed to reflect real-world system interdependencies, can reduce the digital divide in urban resilience planning. Rather than benefiting only data ...

Delhi researchers combined traditional models used to predict streamflow in India’s rivers with artificial intelligence ...

Researchers identify the Functional-Structural Ratio (FSR) as the biological link between age-related hearing loss and cognitive decline, offering a potential new biomarker for dementia risk.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Delhi have combined traditional models used to predict streamflow in India's rivers with artificial intelligence, finding that the new approach significantly improved prediction accuracy in 208 of the ...

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 ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.