Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. A sweeping reorganization of the U.S. Forest Service under the Trump ...

On a recent morning in central Vermont, where I live, it was raining, and the wood frogs had just begun to chorus. The sap run from the maple trees has started to dwindle as the branches begin to bud ...

Scientists say their work on fires and climate change could be lost as the agency moves its headquarters to Utah from Washington and shuts 57 research stations. By Eric Niiler Reporting from ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

In northeastern Gabon, the community of Massaha used participatory mapping to document ancestral villages, sacred sites and traditional land use inside a rainforest slated for industrial logging.

A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Our planet’s forests are undergoing a transformation that researchers are only now beginning to fully understand. Between 2001 and 2020, scientists tracked dramatic shifts in how forests are managed ...