Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

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 ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

NASA’s TESS uncovers 11,554 exoplanet candidates in the T16 planet hunt, including more than 10,000 new ones around faint ...

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...

Avitesh Kesharwani says the average tech company wastes millions on meetings every year. His peer-reviewed research puts ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Today’s urban areas are a restrictive environment for tree planting, as they are very demanding in relation to growth and development. It's important to promote the public and individual health ...