Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

The model takes normal weather models and makes them higher resolution, before delivering them to OpenSnow subscribers.

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...

By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...