Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Editor’s note: This is part of a series called “The Day Tomorrow Began,” which explores the history of breakthroughs at UChicago. Learn more here. A field experiment is a research method that uses ...

Experimentation is a key process by which farmers all over the world have generated situated knowledge to continuously adapt their practices and evolve ...

Physicists got their first look at the structure of the atomic nucleus. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Biosensors do not eliminate Type I and Type II errors, but provide continuous, objective data that complements self-report ...