According to Statistics Norway, an average of approximately 1,100 detached houses have been demolished each year in Norway over the course of the past decade. However, only 7% of the wood from these ...

Stop falling for misleading headlines. Understand the difference between correlation and causation, and learn how researchers prove real scientific facts.

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Dark matter is a mysterious type of matter that does not emit, absorb, or reflect light, yet is predicted to account for most of the universe's mass. While physicists have gathered extensive indirect ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

Meta Superintelligence Labs team was formed last year CTO says new models 'very good' Company had faced criticism over performance of Llama 4 model DAVOS, Switzerland, Jan 21 (Reuters) - Meta ...

This report marks the 75th year American Cancer Society researchers have analyzed and disseminated cancer data to help improve public health ATLANTA, Jan. 13, 2026 /PRNewswire/ -- The American Cancer ...

Cambridge, MA – Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning ...

This Research Topic is currently accepting articles. Cancer research and survival analysis present profound challenges due to the intricate, multifactorial nature of cancer development, progression, ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...