The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.

AI is revolutionizing flood victim searches by rapidly scanning drone imagery to pinpoint debris that may hide bodies, ...

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, sadness, and disgust. In contrast, real news articles were more likely to elicit ...

This study introduces the Trade-Space Exploration Machine Learning (TSE-ML) framework, a comprehensive pipeline for satellite anomaly classification that optimizes preprocessing, transformation, ...

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

For Alzheimer’s disease, both 2D and 3D CNN-based approaches have been trained on magnetic resonance imaging (MRI) data for image segmentation and classification.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...